Changes in the ways knowledge is created and used — and how this is enabled by new information technologies — are driving economic and social development worldwide. Discussions of the “knowledge economy” see knowledge both as an economic output in itself, and as an input that strengthens economic processes; with developing countries tending to be described as planning or embarking on a journey of transformation into knowledge economies to bring about economic gain. Indeed, increasing connectivity has sparked many hopes for the democratization of knowledge production in sub-Saharan Africa.

Despite the centrality of digital connectivity to the knowledge economy, there are few studies of the geographies of digital knowledge and information. In their article “Engagement in the Knowledge Economy: Regional Patterns of Content Creation with a Focus on Sub-Saharan Africa”, published in Information Technologies & International Development, Sanna Ojanperä, Mark Graham, Ralph K. Straumann, Stefano De Sabbata, and Matthew Zook investigate the patterns of knowledge creation in the region. They examine three key metrics: spatial distributions of academic articles (i.e. traditional knowledge production), collaborative software development, and Internet domain registrations (i.e. digitally mediated knowledge production).

Contrary to expectations, they find distribution patterns of digital content (measured by collaborative coding and domain registrations) to be more geographically uneven than those of academic articles: despite the hopes for the democratizing power of the information revolution. This suggests that the factors often framed as catalysts for a knowledge economy do not relate to these three metrics uniformly.

Connectivity is an important enabler of digital content creation, but it seems to be only a necessary, not a sufficient, condition; wealth, innovation capacity, and public spending on education are also important factors. While the growth in telecommunications might be reducing the continent’s reliance on extractive industries and agriculture, transformation into a knowledge economy will require far more concentrated effort than simply increasing Internet connectivity.

We caught up with Sanna to discuss the article’s findings:

Ed.: You chose three indices (articles, domain registration, collaborative coding) to explore the question of Africa’s “readiness” to join the knowledge economy. Are these standard measures for the (digital) knowledge economy?

Sanna: Academic articles is a measure often used to estimate knowledge-rich activity, so you could consider it a traditional variable in this area. Other previous work measuring the geographies of codified knowledge have focused on particular aspects or segments of it, such as patents, citations, and innovation systems.

What we found to be an interesting gap in the estimation of knowledge economies is that even if digital connectivity is central to the knowledge economy discourse, studies of the current geographies of digital knowledge and information on online platforms are rare. We argue that digitally mediated participation in information- and knowledge-intensive activities offers a metric that closely measures human capacity and skills. An analysis of digitally mediated traces of skills and information might thus complement the knowledge economy discussion and offer a way to better detect the boundaries of contemporary knowledge economies. To address the gap of research on digital content, we examine the geography of activities in collaborative software development (using the GitHub platform), and the registration of top-level domains. While there are other indicators that we could have included in the analysis, we selected these two, as they have a global reach and because they measure two distinct, but important segments of knowledge economy.

Ed.: To what extent do the drivers commonly associated with knowledge economies (e.g., GDP, broadband Internet, education, innovation) explain the patterns you found? And what were these patterns?

Sanna: While connectivity plays a role in all three categories, it seems to have a strong effect only on digital content creation. Conversely, the production of academic articles is more strongly related to GDP than to connectivity. Innovation capacity appears to have a positive relationship to all three content types. Education as a topically narrower variable appears, perhaps unexpectedly, to be related only to variance in academic articles.

In terms of the patterns of these variables, we find that the geographies of collaborative coding and domain registrations are more uneven than the spatial distribution of academic authoring. Sub-Saharan Africa contributes the smallest share of content to all three categories, providing only 1.1% of academic articles. With 0.5% of collaborative coding and 0.7% of domain registrations, SSA produces an even smaller share of digital content.

While comparison across absolute numbers informs us of the total volume of content creation, it is useful to pair that with a standardized measure that informs us of the propensity of content creation across the populations. Considering the most productive countries in terms of their per capita content creation suggests geographies even more clustered in Europe than looking at total numbers. In SSA, the level of individual countries’ content production falls within the two lowest quintiles more often in the case of collaborative coding and domain registrations than with academic articles. This runs contrary to the expectation of contemporary digitally mediated content being more evenly geographically distributed than traditional content.

Ed.: You measured “articles” by looking at author affiliations. Could you just as well have used “universities” as the measure? Or is there an assumption that connectivity will somehow encourage international co-authorship (does it?) — or that maybe “articles” is a better measure of knowledge quality than presence of universities per se?

Sanna: We chose this indicator, because we consider scientific output in the form of academic articles to represent the progress of science. Publication of academic articles and the permanent scientific record they form are central for the codification of knowledge and are a key enabler of knowledge-intensive processes. Beyond being an indicator often included in the knowledge economy indices, we believe that academic articles offer a relatively uniform measure of knowledge-intensive output, as the process of peer-reviewed publishing and the way in which it constructs a permanent scientific record are rather similar around the world. In contrast, other systems for knowledge-intensive outputs such as registering patents and innovation systems are known to be vary greatly between countries and regions (Griliches, 1990).

We didn’t use the number of universities as an indicator of the knowledge economy, because we wanted to look at measures of knowledge-intensive content-creation. While universities educate individuals and increase the nation’s human capital, this ‘output’ is very diverse and looks very different between universities. Further, we wanted to assess whether education in fact drives the development of knowledge economy, and used a measure of enrollment rates in secondary and tertiary education as an explanatory variable in our analysis.

Ed.: There’s a lot of talk of Africa entering the “global” marketplace: but how global is the knowledge economy — particularly given differences in language and culture? I imagine most cultural and knowledge production remains pretty local?

Sanna: The knowledge economy could be seen as a new dynamic stage in the global economic restructuring, where economic processes and practices that place greater emphasis of intellectual abilities take place in the context of an increasingly interconnected world. To the extent that African information- and knowledge-intensive goods and services compete in these global markets, one could consider the region entering the global knowledge economy. While the markets for knowledge-based goods and services may be smaller in various African countries, many produce regionally or nationally and locally targeted knowledge-rich products. However, this understanding of the concept of knowledge economy tends to focus on commercial activities and scientific and technical knowledge and neglect indigenous, local or cultural knowledge. These types of knowledge have a higher tendency of being tacit rather than codifiable in nature. Unlike codified knowledge, which can be recorded and transmitted through symbols or become materialized in concrete form such as tools or machinery, tacit knowledge takes time to obtain and is not as easily diffused. While these tacit types of knowledge are prevalent and carry significant value for their users and producers, they are less easily converted to commercial value. This makes their measurement more challenging and as a result the discourse of knowledge economies tends to focus less on these types of knowledge production.

Ed.: Is the knowledge economy always going to be a “good” thing, or could it lead to (more) economic exploitation of the region — for example if it got trapped into supplying a market for low-quality work? (I guess the digital equivalent of extractive, rather than productive industries .. call centres, gig-work etc.)

Sanna: As is the case with any type of economic activity, the distributional effects of knowledge economies are affected by a myriad of factors. On one hand, many of the knowledge- and information-rich economic activities require human capital and technological resources, and tend to yield goods and services with higher value added. The investment in and the greater presence of these resources may help nations and individuals to access more opportunities to increase their welfare. However, countries don’t access the global information- and knowledge-based markets as equal players and the benefits from knowledge economies are not distributed equally. It is possible that exploitative practices exist in particular where institutions and regulatory practices are not sufficiently powerful to ensure adequate working conditions. In a previous study on the Sub-Saharan African gig economy and digital labour – both areas that could be considered to form part of the knowledge economy – some of the authors found that while a range of workers in these domains enjoy important and tangible benefits, they also face risks and costs such as low bargaining power, limited economic inclusion, intermediated value chains leading to exploitation of less experienced workers, and restrictions in upgrading skills in order to move upwards in professional roles.

Ed.: I guess it’s difficult to unpack any causation in terms of Internet connectivity, economic development, and knowledge economies — despite hopes of the Internet “transforming” Sub-Saharan African economies. Is there anything in your study (or others) to hint at an answer to the question of causality?

Sanna: In order to discuss causality, we would need to study the effects of a given intervention or treatment, as measured in an ideal randomized controlled experiment. As we’re not investigating the effect of a particular intervention, but studying descriptive trends in the three dependent variables using the Ordinary Least Squares (OLS) method of estimation in multiple linear regression framework, we cannot make strong claims about causality. However, we find that both the descriptive study of RQ1 as well as the regression modeling and residual mapping for RQ2 offer statistically significant results, which lend themselves for interpretations with relevance to our RQs and that have important implications, which we discuss in the concluding section of the article.

Read the full article: Ojanperä, S., Graham, M., Straumann, R.K., De Sabbata, S., & Zook, M. (2017). Engagement in the knowledge economy: Regional patterns of content creation with a focus on sub-Saharan Africa. Information Technologies & International Development 13: 33–51.

Sanna Ojanperä was talking to blog editor David Sutcliffe.

Development has always grappled with why some people and places have more than others, but much of that conversation is lost within contemporary discourses of ICTs and development. As states and organisations rush to develop policies and plans, build drones and balloons, and lay fibre-optic cables, much is said about the power of ICTs to positively transform the world’s most underprivileged people and places.

Despite the vigour of such claims, there is actually a lack of academic consensus about the impacts of digital connectivity on economic development. In their new article, Nicolas Friederici, Sanna Ojanperä and Mark Graham review claims made by African governments and large international institutions about the impacts of connectivity, showing that the evidence base to support them is thin.

It is indeed possible that contemporary grand visions of connectivity are truly reflective of a promising future, but it is equally possible that many of them are hugely overblown. The current evidence base is mixed and inconclusive. More worryingly, visions of rapid ICT-driven development might not only fail to achieve their goals — they could actively undermine development efforts in a world of scarce resources. We should therefore refuse to believe it is self-evident that ICTs will automatically bring about development, and should do more to ask the organisations and entities who produce these grand visions to justify their claims.

Read the full article: Friederici, N., Ojanperä, S., and Graham, M. (2017) The Impact of Connectivity in Africa: Grand Visions and the Mirage of Inclusive Digital Development. Electronic Journal of Information Systems in Developing Countries, 79(2), 1–20.

We caught up with the authors to discuss their findings.

Ed.: Who is paying for these IT-development projects: are they business and profit-led, or donor led: and do the donors (and businesses) attach strings?

Nicolas: Funding has become ever more mixed. Foundational infrastructure like fibre-optic cables have usually been put in place through public private partnerships, where private companies lay out the network while loans, subsidies, and policy support are provided by national governments and organizations like the World Bank. Development agencies have mostly funded more targeted connectivity projects, like health or agricultural information platforms.

Recently, philanthropic foundations and tech corporations have increased their footprint, for instance, the Rockefeller Foundation’s Digital Jobs project or Facebook’s Open Cellular Base stations. So we are seeing an increasingly complex web of financial channels. What discourse does is pave the way for funding to flow into such projects.

The problem is that, while private companies may stop investing when they don’t see returns, governments and development funders might continue to pour resources into an agenda as long as it suits their ideals or desirable and widely accepted narratives. Of course, these resources are scarce; so, at the minimum, we need to allow scrutiny and look for alternatives about how development funding could be used for maximum effect.

Ed.: Simple, aspirational messages are obviously how politicians get people excited about things (and to pay for them). What is the alternative?

Nicolas: We’re not saying that the rhetoric of politicians is the problem here. We’re saying that many of the actors who are calling the shots in development are stubbornly evading valid concerns that academics and some practitioners have brought forward. The documents that we analyze in the article — and these are very influential sources — pretend that it is an unquestionable fact that there is a causal, direct and wide-spread positive impact of Internet and ICTs on all facets of development, anywhere. This assertion is not only simplistic, it’s also problematic and maybe even dangerous to think about a complex and important topic like (human, social) development in this way.

The alternative is a more open and plural conversation where we openly admit that resources spent on one thing can’t be spent on another, and where we enable different and critical opinions to enter the fray. This is especially important when a nation’s public is disempowered or misinformed, or when regulators are weak. For example, in most countries in Europe, advocacy groups and strong telecoms regulators provide a counterforce to the interests of technology corporations. Such institutions are often absent in the Global South, so the onus is on development organizations to regulate themselves, either by engaging with people “on the ground” or with academics. For instance, the recent World Development Report by the World Bank did this, which led the report to, we think, much more reliable and balanced conclusions compared to the Bank’s earlier outputs.

Ed.: You say these visions are “modernist” and “techno-determinist” — why is that? Is it a quirk of the current development landscape, or does development policy naturally tend to attract fixers (rather than doubters and worriers..). And how do we get more doubt into policy?

Nicolas: Absolutely, development organizations are all about fixing development problems, and we do not take issue with that. However, these organizations also need to understand that “fixing development” is not like fixing a machine (that is, a device that functions according to mechanical principles). It’s not like one could input “technology” or “the Internet,” and get “development” as an output.

In a nutshell, that’s what we mean when we say that visions are modernist and techno-determinist: many development organizations, governments, and corporations make the implicit assumption that technological progress is fixing development, that this is an apolitical and unstoppable process, and that this is working out in the same way everywhere on earth. This assumption glances over contestation, political choices and trade-offs, and the cultural, economic, and social diversity of contexts.

Ed.: Presumably if things are very market-led: the market will decide if the internet “solves” everything: ie either it will, or it won’t. Has there been enough time yet to verify the outcomes of these projects (e.g. how has the one-laptop initiative worked out)?

Nicolas: I’m not sure I agree with the implication that markets can decide if the Internet solves everything. It’s us humans who are deciding, making choices, prioritizing, allocating resources, setting policies, etc. As humans, we might decide that we want a market (that is, supply and demand matched by a price mechanism) to regulate some array of transactions. This is exactly what is happening, for instance, with the spread of mobile money in Kenya or the worldwide rise of smartphones: people feel they benefit from using a product and are willing to pay money to a supplier.

The issue with technology and development is (a) that in many cases, markets are not the mechanism that achieves the best development outcomes (think about education or healthcare), (b) that even the freest of markets needs to be enabled by things like political stability, infrastructure, and basic institutions (think about contract law and property rights), and (c) that many markets need regulatory intervention or power-balancing institutions to prevent one side of the exchange to dominate and exploit the other (think about workers’ rights).

In each case, it is thus a matter of evaluating what mixture of technology, markets, and protections works best to achieve the best development outcomes, keeping in mind that development is multi-dimensional and goes far beyond economic growth. These evaluations and discussions are challenging, and it takes time to determine what works, where, and when, but ultimately we’re improving our knowledge and our practice if we keep the conversation open, critical, and diverse.

Ed.: Is there a consensus on ICT and development, or are there basically lots of camps, ranging from extreme optimists to extreme pessimists? I get the impression that basically “it’s complicated” — is that fair? And how much discussion or recognition (beyond yourselves) is there about the gap between these statements and reality?

Nicolas: ICT and development has seen a lot of soul-searching, and scholars and practitioners have spent over 20 years debating the field’s nature and purpose. There is certainly no consensus on what ICTD should do, or how ICTs effect/affect development, and maybe that is an unrealistic — and undesirable — goal. There are certainly optimistic and pessimistic voices, like you mention, but there is also a lot of wisdom that is not widely acknowledged, or not in the public domain at all. There are thousands of practitioners from the Global North and South who have been in the trenches, applied their critical and curious minds, and seen what makes an impact and what is a pipe dream.

So we’re far from the only ones who are aware that much of the ICTD rhetoric is out of touch with realities, and we’re also not the first ones to identify this problem. What we tried to point out in our article is that the currently most powerful, influential, and listened to sources tend to be the ones that are overly optimistic and overly simplistic, ignoring all the wisdom and nuance created through hard scholarly and practical work. These actors seem to be detached from the messy realities of ICTD.

This carries a risk, because it is these organizations (governments, global consultancies, multilateral development organizations, and international tech corporations) that are setting the agenda, distributing the funds, making the hiring decisions, etc. in development practice.

Read the full article: Friederici, N., Ojanperä, S., and Graham, M. (2017) The Impact of Connectivity in Africa: Grand Visions and the Mirage of Inclusive Digital Development. Electronic Journal of Information Systems in Developing Countries, 79(2), 1–20.

Nicolas Friederici was talking to blog editor David Sutcliffe.

The growth of online gig work — paid work allocated and delivered by way of internet platforms without a contract for long-term employment — has been welcomed by economic development experts, and the world’s largest global development network is promoting its potential to aid human development. There are hopes that online gig work, and the platforms that support it, might catalyse new, sustainable employment opportunities by addressing a mismatch in the supply and demand of labour globally.

Some of the world’s largest gig work platforms have also framed their business models as a revolution in labour markets, suggesting that they can help lift people out of poverty. Similarly, many policymakers expect that regions like Sub-Saharan Africa and Southeast Asia can capitalise on this digitally mediated work opportunity as youth-to-adult unemployment rates hit historic peaks. More broadly, it has been suggested that online gig work will have structural benefits on the global economy, such as raising labour force participation and improving productivity.

Against this background, a new report by Mark Graham, Vili Lehdonvirta, Alex Wood, Helena Barnard, Isis Hjorth, and David Peter Simon, “The Risks and Rewards of Online Gig Work At The Global Margins” [PDF] highlights the risks alongside the rewards of online gig work. It draws on interviews and surveys, together with transaction data from one of the world’s largest online gig work platforms, to reveal the complex and sometimes problematic reality of this “new world of work”.

While there are significant rewards to online gig work, there are also significant risks. Discrimination, low pay rates, overwork, and insecurity all need to be tackled head-on. The report encourages online gig work platforms to further develop their service, policymakers to revisit regulation, and labour activists to examine organising tactics if online gig work is to truly live up to its potential for human development, and become a sustainable situation for many more workers.

The final section of the report poses questions for all stakeholders regarding how to improve the conditions and livelihoods of online gig workers, particularly given how these platforms have become disembedded from the norms and laws that normally regulate labour intermediaries. Specific questions that are discussed include:

• Is it necessary to list nationality on profile pages? Will online gig workers receive formal employment contracts in the future?
• What formal channels could exist for workers to voice their issues? Where should governments regulate online gig work in the future?
• Will governments need to limit online gig work monopolies? And how will governments support alternative forms of platform organisation?
• What online forms of voice could emerge for workers, and in what ways can existing groups be leveraged to promote solidarity?
• To what extent will companies be held accountable for poor working conditions? Do platforms need a Fairwork certification program?

The report also offers suggestions alongside the questions, drawing on relevant literature and referencing historical precedents.

Read the full report: Graham, M., Lehdonvirta, V., Wood, A., Barnard, H., Hjorth, I., Simon, D. P. (2017) The Risks and Rewards of Online Gig Work At The Global Margins [PDF]. Oxford: Oxford Internet Institute.

Read the article: Graham, M., Hjorth, I. and Lehdonvirta, V. (2017) Digital Labour and Development: Impacts of Global Digital Labour Platforms and the Gig Economy on Worker Livelihoods. Transfer. DOI: 10.1177/1024258916687250

The report is an output of the project “Microwork and Virtual Production Networks in Sub-Saharan Africa and Southeast Asia”, funded by the International Development Research Centre (IDRC), grant number: 107384-001.

As David Harvey famously noted, workers are unavoidably place-based because “labor-power has to go home every night.” But the widespread use of the Internet has changed much of that. The confluence of rapidly spreading digital connectivity, skilled but under-employed workers, the existence of international markets for labour, and the ongoing search for new outsourcing destinations, has resulted in organisational, technological, and spatial fixes for virtual production networks of services and money. Clients, bosses, workers, and users of the end-products of work can all now be located in different corners of the planet.

A new article by Mark Graham, Isis Hjorth and Vili Lehdonvirta, “Digital labour and development: impacts of global digital labour platforms and the gig economy on worker livelihoods”, published in Transfer, discusses the implications of the spatial unfixing of work for workers in some of the world’s economic margins, and reflects on some of the key benefits and costs associated with these new digital regimes of work. Drawing on a multi-year study with digital workers in Sub-Saharan Africa and South-east Asia, it highlights four key concerns for workers: bargaining power, economic inclusion, intermediated value chains, and upgrading.

As ever more policy-makers, governments and organisations turn to the gig economy and digital labour as an economic development strategy to bring jobs to places that need them, it is important to understand how this might influence the livelihoods of workers. The authors show that although there are important and tangible benefits for a range of workers, there are also a range of risks and costs that could negatively affect the livelihoods of digital workers. They conclude with a discussion of four broad strategies – certification schemes, organising digital workers, regulatory strategies and democratic control of online labour platforms — that could improve conditions and livelihoods for digital workers.

We caught up with the authors to explore the implications of the study:

Ed.: Shouldn’t increased digitisation of work also increase transparency (i.e. tracking, auditing etc.) around this work — i.e. shouldn’t digitisation largely be a good thing?

Mark: It depends. One of the goals of our research is to ask who actually wins and loses from the digitalisation of work. A good thing for one group (e.g. employers in the Global North) isn’t necessarily automatically a good thing for another group (e.g. workers in the Global South).

Ed.: You mention market-based strategies as one possible way to improve transparency around working conditions along value chains: do you mean something like a “Fairtrade” certification for digital work, i.e. creating a market for “fair work”?

Mark: Exactly. At the moment, we can make sure that the coffee we drink or the chocolate we eat is made ethically. But we have no idea if the digital services we use are. A ‘fair work’ certification system could change that.

Ed.: And what sorts of work are these people doing? Is it the sort of stuff that could be very easily replaced by advances in automation (natural language processing, pattern recognition etc.)? i.e. is it doubly precarious, not just in terms of labour conditions, but also in terms of the very existence of the work itself?

Mark: Yes, some of it is. Ironically, some of the paid work that is done is training algorithms to do work that used to be done by humans.

Ed.: You say that “digital workers have been unable to build any large-scale or effective digital labour movements” — is that because (unlike e.g. farm work which is spatially constrained), employers can very easily find someone else anywhere in the world who is willing to do it? Can you envisage the creation of any effective online labour movement?

Mark: A key part of the problem for workers here is the economic geography of this work. A worker in Kenya knows that they can be easily replaced by workers on the other side of the planet. The potential pool of workers willing to take any job is massive. For digital workers to have any sort of effective movement in this context means looking to what I call geographic bottlenecks in the system. Places in which work isn’t solely in a global digital cloud. This can mean looking to things like organising and picketing the headquarters of firms, clusters of workers in particular places, or digital locations (the web-presence of firms). I’m currently working on a new publication that deals with these issues in a bit more detail.

Ed.: Are there any parallels between the online gig work you have studied and ongoing issues with “gig work” services like Uber and Deliveroo (e.g. undercutting of traditional jobs, lack of contracts, precarity)?

Mark: A commonality in all of those cases is that platforms become intermediaries in between clients and workers. This means that rather than being employees, workers tend to be self-employed: a situation that offers workers freedom and flexibility, but also comes with significant risks to the worker (e.g. no wages if they fall ill).

Read the full article: Graham, M., Hjorth, I. and Lehdonvirta, V. (2017) Digital Labour and Development: Impacts of Global Digital Labour Platforms and the Gig Economy on Worker Livelihoods. Transfer. DOI: 10.1177/1024258916687250

Read the full report: Graham, M., Lehdonvirta, V., Wood, A., Barnard, H., Hjorth, I., Simon, D. P. (2017) The Risks and Rewards of Online Gig Work At The Global Margins [PDF]. Oxford: Oxford Internet Institute.

The article draws on findings from the research project “Microwork and Virtual Production Networks in Sub-Saharan Africa and South-east Asia”, funded by the International Development Research Centre (IDRC), grant number: 107384-001.

Mark Graham was talking to blog editor David Sutcliffe.

Tea is a sector with well-established practices and relations in the region, so we were curious if ICT might be changing it. Of course, one cannot ignore the movements of material goods when you research the tea sector. Tea is Rwanda’s main export by value, and in 2012 it moved over 21,000 tonnes of tea, accruing around $56m in value. During our fieldwork we interviewed cooperatives in remote offices surrounded by tea plantations in the temperate Southern highlands, tea processors in noisy tea factories heavy with the overpowering smell of fermenting tea leaves, and tea buyers and sellers surrounded by corridors piled high with sacks of tea.

But behind the material movement that takes tea from the slopes of Rwanda’s ‘thousand hills’ to a box on a shelf in Tesco, is a growing set of less visible digital data flows. Whilst the adoption of digital technologies is not comprehensive in the Rwandan tea sector (with, for example, very low Internet use among tea growers), we did find growing use of the Internet and ICTs. More importantly, where they were present, digital flows of information (such as tea-batch tracking, logistics and sales prices) were increasingly important to the ability of firms to improve production and ultimately to increase their profit share from tea. We have termed this a ‘data-driven value chain’ to highlight that these new digital information flows are becoming as important as the flows of material goods.

So why is tea production becoming increasingly ‘data-driven’? We found two principal drivers at work. Firstly, production of commodities like tea has shifted to private ownership. In Rwanda, tea processing factories are no longer owned by the government (as they were a decade ago) but by private firms, including several multinational tea firms. Prices for buying and selling tea are also no longer fixed by the government, but depend on the market — flat rate prices stopped at the end of 2012. Data on everything from international prices, tea quality and logistics has become increasingly important as Rwandan tea firms look to be part of the global market, by better coordinating production and improving the prices of their tea. For instance, privately owned tea factories (often in remote locations) connect via satellite or microwave Internet links to head offices, and systems integration allows multi-national tea firms the ability to track and monitor production at the touch of a button.

Secondly, we need to understand new product innovation in the tea sector. In recent years new products have particularly revolved around growing demand in the retail market for differentiated products — such as ‘environmental’, fair trade or high quality teas — for which the consumer is willing to pay more. This relates most obviously to the activities in the fields and tea processors, but digital information is also crucial in order to allow for ‘traceability’ of tea. As this guarantees that tea batches have satisfied conditions around location, food safety, chemical use, fair labour (etc.) a key component of new product innovation is therefore data — because it is integral to firms’ abilities to prove their value-added production or methods.

The idea of agricultural value chains — of analysing agricultural production from the perspective of a fragmented network of interconnected firms — has become increasingly influential in strategies and policy making supported by large donors such as the World Bank and the International Fund for Agriculture Development (IFAD), an agency of the UN.

These value chain approaches explore the amount of economic ‘value’ that different actors in the supply chain are able to capture in production. For instance, Rwandan tea farmers are only able to capture very small proportions of the final retail prices — we estimate they are paid less than 6% of the cost of the eventual retail product, and only 22% of the cost of the raw tea that is sold to retailers. Value chain analysis has been popular for policy makers and donors in that it helps them to formulate policies to support how firms in countries like Rwanda improve their value through innovation, improving processes of production, or reaching new customers.

Yet, at the moment it appears that the types of analysis being done by policy makers and donors pay very little attention to the importance of digital data, and so they are presenting an unclear picture of the ways to improve — with a tendency to focus on material matters such as machinery or business models.

Our research particularly highlighted the importance of considering how to adapt digital data flows. The ways that digital information is codified, digitised and accessed can be exclusionary, reducing the ability for smaller actors in Rwanda to compete. For instance, we found that lack of access to clear information about prices, tea quality and wider market information means that smallholders, small processors and cooperatives may not compete as well as they could, or be missing on wider innovations in tea production.

While we have focused here only on tea production, our discussions with those working in other agricultural sectors — and in other countries — suggest that our observations have significance across other agricultural sectors. In agricultural production, strategy, policy and researchers mainly focus on the material elements of production — those which are more visible and quantifiable. However, we suggest that often underlying such actions is a growing layer of digital data activity. It is only through more coherent analysis of the role of digital technologies and data that we can better analyse production — and build appropriate policy and strategies to support commodity producers in sectors like Rwandan tea.

Read the full report: Foster, C., and Graham, M. (2015) Connectivity and the Tea Sector in Rwanda. Value Chains and Networks of Connectivity-Based Enterprises in Rwanda. Project Report, Oxford Internet Institute, University of Oxford.

Chris Foster is a researcher at the Oxford Internet Institute. His research focus is on technologies and innovation in developing and emerging markets, with a particular interest on how ICTs can support development of low income groups.

One of the great hopes for new Internet connectivity in the developing world is that it will allow those in developing countries who offer products and services to link to and profit from global customers. With the landing of undersea Internet infrastructure in East Africa, there have been hopes that as firms begin to use the Internet more extensively that improved links to markets will positively impact them.

Central to enabling new customer transactions is the emergence of platforms — digital services, websites and online exchanges — that allow more direct customer-producer interactions to occur. As part of our work exploring the impacts of growing internet connectivity and digital ICTs in East Africa, we wanted to explore how digital platforms were affecting Rwandan firms. Have Rwandan firms been able to access online platforms? What impact has access to these platforms had on firms?

Tourism is becoming an increasingly important contributor to Rwanda’s economy, with 3.1% direct contribution to GDP, and representing 7% of employment. Tourism is typically focused on affluent international tourists who come to explore the wildlife of the country, most notably as the most accessible location to see the mountain gorilla. Rwandan policy makers see tourism as a potential area for expansion, and new connectivity could be one key driver in making the country more accessible to customers.

Tourist service providers in Rwanda have a very high Internet adoption, and even the smallest hotel or tour agency is likely to have at least one mobile Internet-connected laptop. Many of the global platforms also have a presence in the region: online travel agents such as Expedia and Hotels.com work with Rwandan hotels, common social media used by tourists such as TripAdvisor and Facebook are also well-known, and firms have been encouraged by the government to integrate into payment platforms like Visa.

So, in the case of Rwandan tourism, Internet connectivity, Internet access and sector-wide platforms are certainly available for tourism firms. During our fieldwork, however (and to our surprise) we found adoption of digital tourism platforms to be low, and the impact on Rwandan tourism minimal. Why? This came down to three mismatches – essentially to do with integration, with fit, and with interactions.

Global tourism platforms offer the potential for Rwandan firms to seamlessly reach a wider range of potential tourists around the globe. However, we found that the requirements for integration into global platforms were often unclear for Rwandan firms, and there was a poor fit with the existing systems and skills. For example, hotels and lodges normally integrate into online travel agencies through integration of internal information systems, which track bookings and availability within hotels. However, in Rwanda, whilst a few larger hotels used booking systems, even the medium-sized hotels lacked internal booking systems, with booking based on custom Excel spreadsheets, or even paper diaries. When tourism firms attempted to integrate into online services they thus ran into problems, and only the large (international) hotel chains tended to be fully integrated.

Integration of East African tourism service providers into global platforms was also limited by the nature of the activities in the region. Global platforms have typically focused on providing facilities for online information, booking and payment for discrete tourism components — a hotel, a flight, a review of an attraction. However, in East Africa much international tourism is ‘packaged’, meaning a third-party (normally a tour operator) will build an itinerary and make all the bookings for customers. This means that online tourism platforms don’t provide a particularly good fit, either for tourists or Rwandan service providers. A tourist will not want the complication of booking a full itinerary online, and a small lodge that gets most of its bookings through tour operators will see little potential in integrating into a global online platform.

Interaction of Rwandan tourism service providers with online platforms is inevitably undertaken over digital networks, based on remote interactions, payments and information flows. This arms-length relationship often becomes problematic where the skills and ability of service providers are lower. For example, Rwandan tourism service providers often require additional information, help or even training on how best to use platforms which are frequently changing. In contexts where lower cost Internet can at times be inconsistent, and payment systems can be busy, having the ability to connect to local help and discuss issues is important. Yet, this is the very element that global platforms like online travel agents are often trying to remove.

So in general, we found that tourism platforms supported the large international hotels and resorts where systems and structures were already in place for seamless integration into platforms. Indeed, as the Rwandan government looks to expand the tourism sector (such as through new national parks and regional integration), there is a risk that the digital domain will support generic international chains entering the country — over the expansion of local firms.

There are potential ways forward, though. Ironically, the most successful online travel agency in Rwanda is one that has contracted a local firm in the capital Kigali to allow for ‘thicker’ interactions between Rwandan service providers and platform providers. There are also a number of South African and Kenyan online platforms in the early stages of development that are more attuned to the regional contexts of tourism (for example Safari Now, a dynamic Safari scheduling platform; Nights Bridge, an online platform for smaller hotels; and WETU, an itinerary sharing platform for service providers), and these may eventually offer a better solution for Rwandan tourism service providers.

We came to similar conclusions in the other sectors we examined as part of our research in East Africa (looking at tea production and Business Process Outsourcing) — that is, that use of online platforms faces limitations in the region. Even as firms find themselves able to access the Internet, the way these global platforms are designed presents a poor fit to the facilities, activities and needs of firms in developing countries. Indeed, in globalised sectors (such as tourism and business outsourcing) platforms can be actively exclusionary, aiding international firms entering developing countries over those local firms seeking to expand outwards.

For platform owners and developers focusing on such developing markets, the impacts of greater access to the Internet are therefore liable to come when platforms are able to balance between global reach and standards — while also being able to integrate some of the specific needs and contexts of developing countries.

Read the full report: Foster, C., and Graham, M. (2015) The Internet and Tourism in Rwanda. Value Chains and Networks of Connectivity-Based Enterprises in Rwanda. Project Report, Oxford Internet Institute, University of Oxford.

Chris Foster is a researcher at the Oxford Internet Institute. His research focus is on technologies and innovation in developing and emerging markets, with a particular interest on how ICTs can support development of low income groups.

The excitement over the potentially transformative effects of the internet in low-income countries is nowhere more evident than in East Africa – the last major populated region of the world to gain a wired connection to the internet.

Before 2009, there wasn’t a single fibre-optic cable connecting the region to the rest of the world. After hundreds of millions of dollars of investment, cables were laid to connect the region to the global network. Prices for internet access went down, speeds went up, and the number of internet users in the region skyrocketed.

Politicians, journalists and academics all argued that better connectivity would lead to a blossoming of economic, social, and political activity – and a lot of influential people in the region made grand statements. For instance, former Kenyan president Mwai Kibai stated:

I am gratified to be with you today at an event of truly historic proportions. The landing of this fibre-optic undersea cable project in Mombasa is one of the landmark projects in Kenya’s national development story.

Indeed some have compared this to the completion of the Kenya-Uganda railway more than a century ago. This comparison is not far-fetched, because while the economies of the last century were driven by railway connections, the economies of today are largely driven by internet.

The president of Rwanda, Paul Kagame, also spoke about the revolutionary potentials of these changes in connectivity. He claimed:

In Africa, we have missed both the agricultural and industrial revolutions and in Rwanda we are determined to take full advantage of the digital revolution. This revolution is summed up by the fact that it no longer is of utmost importance where you are but rather what you can do – this is of great benefit to traditionally marginalised regions and geographically isolated populations.

As many who have studied politics have long since noted, proclamations like these can have an important impact: they frame how scarce resources can be spent and legitimise actions in certain areas while excusing inaction in others.

Two moments of change

Because the internet is so frequently talked about in revolutionary terms, colleagues Casper Andersen and Laura Mann and I decided to compare in a paper the many hopes, expectations and fears written about the internet with those from another transformational moment in East Africa’s history: the construction of the Uganda Railway.

The Uganda Railway was built from 1896 to 1903 between Mombasa and Lake Victoria, connecting parts of East Africa to each other and the region to the wider world. There were strong views at the time of what this could bring. The journalist and explorer Henry Morten Stanley claimed:

I seemed to see in a vision what was to happen in the years to come. I saw steamers trailing their dark smoke over the waters of the lake; I saw passengers arriving and disembarking; I saw the natives of the east making blood brotherhood with the natives of the west. And I seemed to hear the sound of church bells ringing at great distance afar off.

A young Winston Churchill waxed lyrical on the new railway:

What a road it is! Everything is apple-pie order. The track is smoothed and weeded and ballasted as if it were London and North-Western. Every telegraph post has its number; every mile, every hundred yards, every change of gradient, has its mark … Here and there, at intervals which will become shorter every year, are plantations of rubber, fibre and cotton, the beginnings of those inexhaustible supplies which will one day meet the yet unmeasured demand of Europe for those indispensable commodities… In brief, one slender thread of scientific civilisation, of order, authority, and arrangement, drawn across the primeval chaos of the world.

Learning from expectations

After a full analysis of the historical and contemporary texts, we can make two key points.

The hopes and fears people hold about changes to how they connect with other people and places are surprisingly similar across generations. But there are notable differences between these two moments, a century apart.

The arrival of the railway revolved around the use of technology to integrate an empire and open up new lands to imperial ambitions. By framing the arrival of the railway as allowing the core to extend its dominion over the periphery, what was said and written at the time served to legitimise the extension of colonialism.

The arrival of fibre-optic cables, however, presents a different story. Instead of a world of shrinking space between the core and periphery, it tends to lean more on the idea of a “global village.” The need to connect everyone to the global economy overrides concepts of self sufficiency, local economies, or trade outside the global marketplace.

These visions matter because they leave little room for alternatives. Just as dominant narratives around the arrival of the railway presented a worldview amenable to colonialism, contemporary dominant narratives offer a convenient justification of globalised capitalism and neo-liberalism.

How people imagine they are connected to the world matters. They shape how we make sense of the world and ultimately what steps we take to re-shape the world. We should therefore look to the past, and not just the future, when we examine the effects of the changing ways in which we are connected.

Mark: We are studying online freelancing. In other words this is digital or digitised work for which professional certification or formal training is usually not required. The work is monetised or monetisable, and can be mediated through an online marketplace.

Freelancing is a very old format of work. What is new is the fact that we have almost three billion people connected to a global network: many of those people are potential workers in virtual production networks. This mass connectivity has been one crucial ingredient for some significant changes in how work is organised, divided, outsourced, and rewarded. What we plan to do in this project is better map the contours of some of those changes and understand who wins and who doesn’t in this new world of work.

Ed: Are you able to define what comprises an individual contribution to a ‘virtual production network’ — or to find data on it? How do you define and measure value within these global flows and exchanges?

Mark: It is very far from easy. Much of what we are studying is immaterial and digitally-mediated work. We can find workers and we can find clients, but the links between them are often opaque and black-boxed. Some of the workers that we have spoken to operate under non-disclosure agreements, and many actually haven’t been told what their work is being used for.

But that is precisely why we felt the need to embark on this project. With a combination of quantitative transaction data from key platforms and qualitative interviews in which we attempt to piece together parts of the network, we want to understand who is (and isn’t) able to capture and create value within these networks.

Ed: You note that “within virtual production networks, are we seeing a shift in the boundaries of firms” — to what extend to you think we seeing the emergence of new forms of organisation?

Mark: There has always been a certain spatial stickiness to some activities carried out by firms (or within firms). Some activities required the complex exchanges of knowledge that were difficult to digitally mediate. But digitisation and better connectivity in low-wage countries has now allowed many formerly ‘in-house’ business processes to be outsourced to third-parties. In an age of cloud computing, cheap connectivity, and easily accessible collaboration tools, geography has become less sticky. One task that we are engaged in is looking at the ways that some kinds of tacit knowledge that are difficult to transmit digitally offer some people and firms (in different places) competitive advantages and disadvantages.

This proliferation of digitally mediated work could also be seen as a new form of organisation. The organisations that control key work marketplaces (like oDesk) make decisions that shape both who buyers and sellers are able to connect with, and the ways in which they are able to transact.

Ed: Does ‘virtual work’ add social or economic value to individuals in low-income countries? ie are we really dealing with a disintermediated, level surface on a global playing field, or just a different form of old exploitation (ie a virtual rather than physical extraction industry)?

Mark: That is what we aim to find out. Many have pointed to the potentials of online freelancing to create jobs and bring income to workers in low-income countries. But many others have argued that such practices are creating ‘digital sweatshops’ and facilitating a race to the bottom.

We undoubtedly are not seeing a purely disintermediated market, or a global playing field. But what we want to understand is who exactly benefits from these new networks of work, and how.

Ed: Will you be doing any network analysis of the data you collect, ie of actual value-flows? And will they be geolocated networks?

Mark: Yes! I am actually preparing a post that contains a geographic network of all work conducted over the course of a month via oDesk (see the website of the OII’s Connectivity, Inclusion, and Inequality Group for more..).

Mark Graham was talking to blog editor David Sutcliffe.

Mark Graham is a Senior Research Fellow at the OII. His research focuses on Internet and information geographies, and the overlaps between ICTs and economic development.

The geography of knowledge has always been uneven. Some people and places have always been more visible and had more voices than others. But the internet seemed to promise something different: a greater diversity of voices, opinions and narratives from more places. Unfortunately, this has not come to pass in quite the manner some expected it to. Many parts of the world remain invisible or under-represented on important websites and services.

All of this matters because as geographic information becomes increasingly integral to our lives, places that are not represented on platforms like Wikipedia will be absent from many of our understandings of, and interactions with, the world.

Mapping the differences

Until now, there has been no large-scale analysis of the factors that explain the wide geographical spread of online information. This is something we have aimed to address in our research project on the geography of Wikipedia. Our focus areas were the Middle East and North Africa.

Using statistical models of geotagged Wikipedia data, we identified the necessary conditions to make countries “visible”. This allowed us to map the countries that fare considerably better or worse than expected. We found that a large part of the variation between countries could be explained by just three factors: population, availability of broadband internet, and the number of edits originating in that country.

While these three variables help to explain the sparse amount of content written about much of sub-Saharan Africa, most of the Middle East and North Africa have much less geographic information than might be expected. For example, despite high levels of wealth and connectivity, Qatar and the United Arab Emirates have far fewer articles than we might expect.

Constraints to creating content

These three factors matter independently, but they will also be subject to other constraints. A country’s population will probably affect the number of activities, places, and practices of interest (that is, the number of things one might want to write about). The size of the potential audience might also be influential, encouraging editors in more densely populated regions and those writing in major languages. And social attitudes towards information sharing will probably also change how some people contribute content.

We might also be seeing a principle of increasing informational poverty. Not only is a broad base of source material, such as books, maps, and images, needed to generate any Wikipedia article, but it is also likely that having content online will lead to the production of more content.

There are strict guidelines on how knowledge can be created and represented in Wikipedia, including the need to source key assertions. Editing incentives and constraints probably also encourage work around existing content – which is relatively straightforward to edit – rather than creating entirely new material. So it may be that the very policies and norms that govern the encyclopedia’s structure make it difficult to populate the white space with new content.

We need to recognise that none of the three conditions can ever be sufficient for generating geographic knowledge. As well as highlighting the presences and absences on Wikipedia, we also need to ask what factors encourage or limit production of that content.

Because of the constraints of the Wikipedia model, increasing representation on pages can’t occur in a linear manner. Instead it accelerates in a virtuous cycle, benefiting those with strong cultures of collecting and curating information in local languages. That is why, even after adjusting for their levels of connectivity, population and editors, Britain, Sweden, Japan and Germany are extensively referenced on Wikipedia, but the Middle East and North Africa haven’t kept pace.

If this continues, then those on the periphery might fail to reach a critical mass of editors, needed to make content. Worse still, they may even dismiss Wikipedia as a legitimate site for user-generated geographic content. This is a problem that will need to be addressed if Wikipedia is indeed to take steps towards its goal of being the “sum of all human knowledge”.

We know that Wikipedia is important to the construction of geographical imaginations of place, and that it has immense power to augment our spatial understandings and interactions (Graham et al. 2013). In other words, the presences and absences in Wikipedia matter. If a person’s primary free source of information about the world is the Persian or Arabic or Hebrew Wikipedia, then the world will look fundamentally different from the world presented through the lens of the English Wikipedia. The capacity to represent oneself to outsiders is especially important in those parts of the world that are characterized by highly uneven power relationships: Brunn and Wilson (2013) and Graham and Zook (2013) have already demonstrated the power of geospatial content to reinforce power in a South African township and Jerusalem, respectively.

Until now, there has been no large-scale empirical analysis of the factors that explain information geographies at the global scale; this is something we have aimed to address in this research project on Mapping and measuring local knowledge production and representation in the Middle East and North Africa. Using regression models of geolocated Wikipedia data we have identified what are likely to be the necessary conditions for representation at the country level, and have also identified the outliers, i.e. those countries that fare considerably better or worse than expected. We found that a large part of the variation could be explained by just three factors: namely, (1) country population, (2) availability of broadband Internet, and (3) the number of edits originating in that country. [See the full paper for an explanation of the data and the regression models.]

But how do we explain the significant inequalities in the geography of user-generated information that remain after adjusting for differing conditions using our regression model? While these three variables help to explain the sparse amount of content written about much of Sub-Saharan Africa, most of the Middle East and North Africa have quantities of geographic information below their expected values. For example, despite high levels of wealth and connectivity, Qatar and the United Arab Emirates have far fewer articles than we might expect from the model.

These three factors independently matter, but they will also be subject to a number of constraints. A country’s population will probably affect the number of human sites, activities, and practices of interest; ie the number of things one might want to write about. The size of the potential audience might also be influential, encouraging editors in denser-populated regions and those writing in major languages. However, societal attitudes towards learning and information sharing will probably also affect the propensity of people in some places to contribute content. Factors discouraging the number of edits to local content might include a lack of local Wikimedia chapters, the attractiveness of writing content about other (better-represented) places, or contentious disputes in local editing communities that divert time into edit wars and away from content generation.

We might also be seeing a principle of increasing informational poverty. Not only is a broader base of traditional source material (such as books, maps, and images) needed for the generation of any Wikipedia article, but it is likely that the very presence of content itself is a generative factor behind the production of further content. This makes information produced about information-sparse regions most useful for people in informational cores — who are used to integrating digital information into their everyday practices — rather than those in informational peripheries.

Various practices and procedures of Wikipedia editing likely amplify this effect. There are strict guidelines on how knowledge can be created and represented in Wikipedia, including a ban on original research, and the need to source key assertions. Editing incentives and constraints probably also encourage work around existing content (which is relatively straightforward to edit) rather than creation of entirely new material. In other words, the very policies and norms that govern the encyclopedia’s structure make it difficult to populate the white space with new geographic content. In addressing these patterns of increasing informational poverty, we need to recognize that no one of these three conditions can ever be sufficient for the generation of geographic knowledge. As well as highlighting the presences and absences in user-generated content, we also need to ask what factors encourage or limit production of that content.

In interpreting our model, we have come to a stark conclusion: increasing representation doesn’t occur in a linear fashion, but it accelerates in a virtuous cycle, benefitting those with strong editing cultures in local languages. For example, Britain, Sweden, Japan and Germany are extensively georeferenced on Wikipedia, whereas much of the MENA region has not kept pace, even accounting for their levels of connectivity, population, and editors. Thus, while some countries are experiencing the virtuous cycle of more edits and broadband begetting more georeferenced content, those on the periphery of these information geographies might fail to reach a critical mass of editors, or even dismiss Wikipedia as a legitimate site for user-generated geographic content: a problem that will need to be addressed if Wikipedia is indeed to be considered as the “sum of all human knowledge”.

Read the full paper: Graham, M., Hogan, B., Straumann, R.K., and Medhat, A. (2014) Uneven Geographies of User-Generated Information: Patterns of Increasing Informational Poverty. Annals of the Association of American Geographers.

References

Brunn S. D., and M. W. Wilson. 2013. Cape Town’s million plus black township of Khayelitsha: Terrae incognitae and the geographies and cartographies of silence, Habitat International. 39 284-294.

Graham M., and M. Zook. (2013) Augmented Realities and Uneven Geographies: Exploring the Geolinguistic Contours of the Web. Environment and Planning A 45(1): 77–99.

Graham M, M. Zook, and A. Boulton. 2013. Augmented Reality in the Urban Environment: Contested Content and the Duplicity of Code. Transactions of the Institute of British Geographers. 38(3) 464-479.

Mark Graham is a Senior Research Fellow at the OII. His research focuses on Internet and information geographies, and the overlaps between ICTs and economic development.

Wikipedia is often seen as a great equaliser. Every day, hundreds of thousands of people collaborate on a seemingly endless range of topics by writing, editing and discussing articles, and uploading images and video content. But it’s starting to look like global coverage on Wikipedia is far from equal. This now ubiquitous source of information offers everything you could want to know about the US and Europe but far less about any other parts of the world.

This structural openness of Wikipedia is one of its biggest strengths. Academic and activist Lawrence Lessig even describes the online encyclopedia as “a technology to equalise the opportunity that people have to access and participate in the construction of knowledge and culture, regardless of their geographic placing”.

But despite Wikipedia’s openness, there are fears that the platform is simply reproducing the most established worldviews. Knowledge created in the developed world appears to be growing at the expense of viewpoints coming from developing countries. Indeed, there are indications that global coverage in the encyclopedia is far from “equal”, with some parts of the world heavily represented on the platform, and others largely left out.

For a start, if you look at articles published about specific places such as monuments, buildings, festivals, battlefields, countries, or mountains, the imbalance is striking. Europe and North America account for a staggering 84% of these “geotagged” articles. Almost all of Africa is poorly represented in the encyclopedia, too. In fact, there are more Wikipedia articles written about Antarctica (14,959) than any country in Africa. And while there are just over 94,000 geotagged articles related to Japan, there are only 88,342 on the entire Middle East and North Africa region.

When you think of the spread in terms of the way the world’s population is spread, the picture is equally startling. Even though 60% of the world’s population is concentrated in Asia, less than 10% of Wikipedia articles relate to the region. The same is true in reverse for Europe, which is home to around 10% of the world’s population but accounts for nearly 60% of geotagged Wikipedia articles.

There is an imbalance in the languages used on Wikipedia too. Most articles written about European and East Asian countries are written in their dominant languages. Articles about the Czech Republic, for example, are mostly written in Czech. But for much of the Global South we see a dominance of articles written in English. English dominates across much of Africa and the Middle East and even parts of South and Central America.

There more Wikipedia articles in English than Arabic about almost every Arabic speaking country in the Middle East. And there are more English articles about North Korea than there are Arabic articles about either Saudi Arabia, Libya, or the United Arab Emirates. In total, there are more than 928,000 geotagged articles written in English, but only 3.23% of them are about Africa and 1.67% are about the Middle East and North Africa.

All this matters because fundamentally different narratives can be, and are, created about places and topics in different languages.

Beyond English

Even on the Arabic Wikipedia, there are geographical imbalances. There are a relatively high number of articles about Algeria and Syria, as well as about the US, Italy, Spain, Russia and Greece but substantially fewer about a number of Arabic speaking countries, including Egypt, Morocco, and Saudi Arabia. Indeed, there are only 433 geotagged articles about Egypt on the Arabic Wikipedia, but 2,428 about Italy and 1,988 about Spain.

By mapping the geography of Wikipedia articles in both global and regional languages, we can begin to examine the layers of representation that “augment” the world we live in. Some parts of the world, including the Middle East, are massively underrepresented – not just in major world languages, but their own. We like to think of Wikipedia as an opportunity for anyone, anywhere to contribute information about our world but that doesn’t seem to be happening in practice. Wikipedia might not just be reflecting the world, but also reproducing new, uneven, geographies of information.

Wikipedia has famously been described as a project that “ works great in practice and terrible in theory”. One of the ways in which it succeeds is through its extensive consensus-based governance structure. While this has led to spectacular success –over 4.5 million articles in the English Wikipedia alone — the governance structure is neither obvious nor immediately accessible, and can present a barrier for those seeking entry. Editing Wikipedia can be a tough challenge – an often draining and frustrating task, involving heated disputes and arguments where it is often the most tenacious, belligerent, or connected editor who wins out in the end.

Broadband access and literacy are not the only pre-conditions for editing Wikipedia; ‘digital literacy’ is also crucial. This includes the ability to obtain and critically evaluate online sources, locate Wikipedia’s editorial and governance policies, master Wiki syntax, and confidently articulate and assert one’s views about an article or topic. Experienced editors know how to negotiate the rules, build a consensus with some editors to block others, and how to influence administrators during dispute resolution. This strict adherence to the word (if not the spirit) of Wikipedia’s ‘law’ can lead to marginalization or exclusion of particular content, particularly when editors are scared off by unruly mobs who ‘weaponize’ policies to fit a specific agenda.

Governing such a vast collaborative platform as Wikipedia obviously presents a difficult balancing act between being open enough to attract volume of contributions, and moderated enough to ensure their quality. Many editors consider Wikipedia’s governance structure (which varies significantly between the different language versions) essential to ensuring the quality of its content, even if it means that certain editors can (for example) arbitrarily ban other users, lock down certain articles, and exclude moderate points of view. One of the editors we spoke to noted that: “A number of articles I have edited with quality sources, have been subjected to editors cutting information that doesn’t fit their ideas […] I spend a lot of time going back to reinstate information. Today’s examples are in the ‘Battle of Nablus (1918)’ and the ‘Third Transjordan attack’ articles. Bullying does occur from time to time […] Having tried the disputes process I wouldn’t recommend it.” Community building might help support MENA editors faced with discouragement or direct opposition as they try to build content about the region, but easily locatable translations of governance materials would also help. Few of the extensive Wikipedia policy discussions have been translated into Arabic, leading to replication of discussions or ambiguity surrounding correct dispute resolution.

Beyond arguments with fractious editors over minutiae (something that comes with the platform), negotiating the wider politics of Wikipedia can be a daunting task, particularly when in it comes to content about the MENA region. It would be an understatement to say that the Middle East is a politically sensitive region, with more than its fair share of apparently unresolvable disputes, competing ideologies (it’s the birthplace of three world religions…), repressive governments, and ongoing and bloody conflicts. Editors shared stories with us about meddling from state actors (eg Tunisia, Iran) and a lack of trust with a platform that is generally considered to be a foreign, and sometimes explicitly American, tool. Rumors abound that several states (eg Israel, Iran) have concerted efforts to work on Wikipedia content, creating a chilling effect for new editors who might feel that editing certain pages might prove dangerous, or simply frustrating or impossible. Some editors spoke of being asked by Syrian government officials for advice on how to remove critical content, or how to identify the editors responsible for putting it there. Again: the effect is chilling.

A lack of locally produced and edited content about the region clearly can’t be blamed entirely on ‘outsiders’. Many editors in the Arabic Wikipedia have felt snubbed by the creation of an explicitly “Egyptian Arabic” Wikipedia, which has not only forked the content and editorial effort, but also stymied any ‘pan-Arab’ identity on the platform. There is a culture of administrators deleting articles they do not think are locally appropriate; often relating to politically (or culturally) sensitive topics. Due to Arabic Wikipedia’s often vicious edit wars, it is heavily moderated (unlike for example the English version), and anonymous edits do not appear instantly.

Some editors at the workshops noted other systemic and cultural issues, for example complaining of an education system that encourages rote learning, reinforcing the notion that only experts should edit (or moderate) a topic, rather than amateurs with local familiarity. Editors also noted the notable gender disparities on the site; a longstanding issue for other Wikipedia versions as well. None of these discouragements are helped by what some editors noted as a larger ‘image problem’ with editing in the Arabic Wikipedia, given it would always be overshadowed by the dominant English Wikipedia, one editor commenting that: “the English Wikipedia is vastly larger than its Arabic counterpart, so it is not unthinkable that there is more content, even about Arab-world subjects, in English. From my (unscientific) observation, many times, content in Arabic about a place or a tribe is not very encyclopedic, but promotional, and lacks citations”. Translating articles into Arabic might be seen as menial and unrewarding work, when the exciting debates about an article are happening elsewhere.

When we consider the coming-together of all of these barriers, it might be surprising that Wikipedia is actually as large as it is. However, the editors we spoke with were generally optimistic about the site, considering it an important activity that serves the greater good. Wikipedia is without doubt one of the most significant cultural and political forces on the Internet. Wikipedians are remarkably generous with their time, and it’s their efforts that are helping to document, record, and represent much of the world – including places where documentation is scarce. Most of the editors at our workshop ultimately considered Wikipedia a path to a more just society; through not just consensus, voting, and an aspiration to record certain truths — seeing it not just as a site of conflict, but also a site of regional (and local) pride. When asked why he writes geographic content, one editor simply replied: “It’s my own town”.

Mark Graham is a Senior Research Fellow at the OII. His research focuses on Internet and information geographies, and the overlaps between ICTs and economic development.

These second-generation digital divides are not merely divides of Internet access (so discussed in the late 1990s), but gaps in representation and participation (Hargittai and Walejko 2008). Whereas most Wikipedia articles written about most European and East Asian countries are written in their dominant languages, for much of the Global South we see a dominance of articles written in English. These geographic differences in the coverage of different language versions of Wikipedia matter, because fundamentally different narratives can be (and are) created about places and topics in different languages (Graham and Zook 2013; Graham 2014).

If we undertake a ‘global analysis’ of this pattern by examining the number of geocoded articles (ie about a specific place) across Wikipedia’s main language versions (Figure 1), the first thing we can observe is the incredible human effort that has gone into describing ‘place’ in Wikipedia. The second is the clear and highly uneven geography of information, with Europe and North America home to 84% of all geolocated articles. Almost all of Africa is poorly represented in the encyclopaedia — remarkably, there are more Wikipedia articles written about Antarctica (14,959) than any country in Africa, and more geotagged articles relating to Japan (94,022) than the entire MENA region (88,342). In Figure 2 it is even more obvious that Europe and North America lead in terms of representation on Wikipedia.

Knowing how many articles describe a place only tells a part of the ‘representation story’. Figure 3 adds the linguistic element, showing the dominant language of Wikipedia articles per country. The broad pattern is that some countries largely define themselves in their own languages, and others appear to be largely defined from outside. For instance, almost all European countries have more articles about themselves in their dominant language; that is, most articles about the Czech Republic are written in Czech. Most articles about Germany are written in German (not English).

We do not see this pattern across much of the South, where English dominates across much of Africa, the Middle East, South and East Asia, and even parts of South and Central America. French dominates in five African countries, and German is dominant in one former German colony (Namibia) and a few other countries (e.g. Uruguay, Bolivia, East Timor).

The scale of these differences is striking. Not only are there more Wikipedia articles in English than Arabic about almost every Arabic speaking country in the Middle East, but there are more English articles about North Korea than there are Arabic articles about Saudi Arabia, Libya, and the UAE. Not only do we see most of the world’s content written about global cores, but it is largely dominated by a relatively few languages.

Figure 4 shows the total number of geotagged Wikipedia articles in English per country. The sheer density of this layer of information over some parts of the world is astounding (with 928,542 articles about places in English), nonetheless, in this layer of geotagged English content, only 3.23% of the articles are about Africa, and 1.67% are about the MENA region.

We see a somewhat different pattern when looking at the global geography of the 22,548 geotagged articles of the Arabic Wikipedia (Figure 5). Algeria and Syria are both defined by a relatively high number of articles in Arabic (as are the US, Italy, Spain, Russia and Greece). These information densities are substantially greater than what we see for many other MENA countries in which Arabic is an official language (such as Egypt, Morocco, and Saudi Arabia). This is even more surprising when we realise that the Italian and Spanish populations are smaller than the Egyptian, but there are nonetheless far more geotagged articles in Arabic about Italy (2,428) and Spain (1,988) than about Egypt (433).

By mapping the geography of Wikipedia articles in both global and regional languages, we can begin to examine the layers of representation that ‘augment’ the world we live in. We have seen that, notable exceptions aside (e.g. ‘Iran’ in Farsi and ‘Israel’ in Hebrew) the MENA region tends to be massively underrepresented — not just in major world languages, but also in its own: Arabic. Clearly, much is being left unsaid about that part of the world. Although we entered the project anticipating that the MENA region would be under-represented in English, we did not anticipate the degree to which it is under-represented in Arabic.

References

Ford, H. (2011) The Missing Wikipedians. In Critical Point of View: A Wikipedia Reader, ed. G. Lovink and N. Tkacz, 258-268. Amsterdam: Institute of Network Cultures.

Graham, M. (2014) The Knowledge Based Economy and Digital Divisions of Labour. In Companion to Development Studies, 3rd edition, eds v. Desai, and R. Potter. Hodder, pp. 189-195.

Graham, M. (2013) The Virtual Dimension. In Global City Challenges: Debating a Concept, Improving the Practice. Eds. Acuto, M. and Steele, W. London: Palgrave.

Graham, M. (2011) Wiki Space: Palimpsests and the Politics of Exclusion. In Critical Point of View: A Wikipedia Reader. Eds. Lovink, G. and Tkacz, N. Amsterdam: Institute of Network Cultures, pp. 269-282.

Graham M., and M. Zook (2013) Augmented Realities and Uneven Geographies: Exploring the Geolinguistic Contours of the Web. Environment and Planning A 45 (1) 77–99.

Hargittai, E. and G. Walejko (2008) The Participation Divide: Content Creation and Sharing in the Digital Age. Information, Communication and Society 11 (2) 239–256.

Hecht B., and D. Gergle (2009) Measuring self-focus bias in community-maintained knowledge repositories. In Proceedings of the 4th International Conference on Communities and Technologies, Penn State University, 2009, pp. 11–20. New York: ACM.

Lessig, L. (2003) An Information Society: Free or Feudal. Talk given at the World Summit on the Information Society, Geneva, 2003.

Mark Graham is a Senior Research Fellow at the OII. His research focuses on Internet and information geographies, and the overlaps between ICTs and economic development.

Wikipedia currently contains over 9 million articles in 272 languages, far surpassing any other publicly available information repository. Being the first point of contact for most general topics (therefore an effective site for framing any subsequent representations) it is an important platform from which we can learn whether the Internet facilitates increased open participation across cultures — or reinforces existing global hierarchies and power dynamics. Because the underlying political, geographic and social structures of Wikipedia are hidden from users, and because there have not been any large scale studies of the geography of these structures and their relationship to online participation, entire groups of people (and regions) may be marginalized without their knowledge.

This process is important to understand, for the simple reason that Wikipedia content has begun to form a central part of services offered elsewhere on the Internet. When you look for information about a place on Facebook, the description of that place (including its geographic coordinates) comes from Wikipedia. If you want to “check in” to a museum in Doha to signify you were there to their friends, the place you check in to was created with Wikipedia data. When you Google “House of Saud” you are presented not only with a list of links (with Wikipedia at the top) but also with a special ‘card’ summarising the House. This data comes from Wikipedia. When you look for people or places, Google now has these terms inside its ‘knowledge graph’, a network of related concepts with data coming directly from Wikipedia. Similarly, on Google maps, Wikipedia descriptions for landmarks are presented as part of the default information.

Ironically, Wikipedia editorship is actually on a slow and steady decline, even as its content and readership increases year on year. Since 2007 and the introduction of significant devolution of administrative powers to volunteers, Wikipedia has not been able to effectively retain newcomers, something which has been noted as a concern by many at the Wikimedia Foundation. Some think Wikipedia might be levelling off because there’s only so much to write about. This is extremely far from the truth; there are still substantial gaps in geographic content in English and overwhelming gaps in other languages. Wikipedia often brands itself as aspiring to contain “the sum of human knowledge”, but behind this mantra lie policy pitfalls, tedious editor debates and delicate sourcing issues that hamper greater representation of the region. Of course these challenges form part of Wikipedia’s continuing evolution as the de facto source for online reference information, but they also (disturbingly) act to entrench particular ways of “knowing” — and ways of validating what is known.

There are over 260,000 articles in Arabic, receiving 240,000 views per hour. This actually translates as one of the least represented major world languages on Wikipedia: few languages have more speakers and fewer articles than Arabic. This relative lack of MENA voice and representation means that the tone and content of this globally useful resource, in many cases, is being determined by outsiders with a potential misunderstanding of the significance of local events, sites of interest and historical figures. In an area that has seen substantial social conflict and political upheaval, greater participation from local actors would help to ensure balance in content about contentious issues. Unfortunately, most research on MENA’s Internet presence has so far been drawn from anecdotal evidence, and no comprehensive studies currently exist.

In this project we wanted to understand where place-based content comes from, to explain reasons for the relative lack of Wikipedia articles in Arabic and about the MENA region, and to understand which parts of the region are particularly underrepresented. We also wanted to understand the relationship between Wikipedia’s administrative structure and the treatment of new editors; in particular, we wanted to know whether editors from the MENA region have less of a voice than their counterparts from elsewhere, and whether the content they create is considered more or less legitimate, as measured through the number of reverts; ie the overriding of their work by other editors.

Our practical objectives involved a consolidation of Middle Eastern Wikipedians though a number of workshops focusing on how to create more equitable and representative content, with the ultimate goal of making Wikipedia a more generative and productive site for reference information about the region. Capacity building among key Wikipedians can create greater understanding of barriers to participation and representation and offset much of the (often considerable) emotional labour required to sustain activity on the site in the face of intense arguments and ideological biases. Potential systematic structures of exclusion that could be a barrier to participation include such competitive practices as content deletion, indifference to content produced by MENA authors, and marginalization through bullying and dismissal.

However, a distinct lack of sources — owing both to a lack of legitimacy for MENA journalism and a paucity of open access government documents — is also inhibiting further growth of content about the region. When inclusion of a topic is contested by editors it is typically because there is not enough external source material about it to establish “notability”. As Ford (2011) has already discussed, notability is often culturally mediated. For example, a story in Al Jazeera would not have been considered a sufficient criterion of notability a couple of years ago. However, this has changed dramatically since its central role in reporting on the Arab Spring.

Unfortunately, notability can create a feedback loop. If an area of the world is underreported, there are no sources. If there are no sources, then journalists do not always have enough information to report about that part of the world. ‘Correct’ sourcing trumps personal experience on Wikipedia; even if an author is from a place, and is watching a building being destroyed, their Wikipedia edit will not be accepted by the community unless the event is discussed in another ‘official’ medium. Often the edit will either be branded with a ‘citation needed’ tag, eliminated, or discussed in the talk page. Particularly aggressive editors and administrators will nominate the page for ‘speedy deletion’ (ie deletion without discussion), a practice that makes responses from an author difficult

Why does any of this matter in practical terms? For the simple reason that biases, absences and contestations on Wikipedia spill over into numerous other domains that are in regular and everyday use (Graham and Zook, 2013). If a place is not on Wikipedia, this might have a chilling effect on business and stifle journalism; if a place is represented poorly on Wikipedia this can lead to misunderstandings about the place. Wikipedia is not a legislative body. However, in the court of public opinion, Wikipedia represents one of the world’s strongest forces, as it quietly inserts itself into representations of place worldwide (Graham et. al 2013; Graham 2013).

Wikipedia is not merely a site of reference information, but is rapidly becoming the de facto site for representing the world to itself. We need to understand more about that representation.

Further Reading

Allagui, I., Graham, M., and Hogan, B. 2014. Wikipedia Arabe et la Construction Collective du Savoir In Wikipedia, objet scientifique non identifie. eds. Barbe, L., and Merzeau, L. Paris: Presses Universitaries du Paris Ouest (in press).

Graham, M., Hogan, B., Straumann, R. K., and Medhat, A. 2014. Uneven Geographies of User-Generated Information: Patterns of Increasing Informational Poverty. Annals of the Association of American Geographers (forthcoming).

Graham, M. 2012. Die Welt in Der Wikipedia Als Politik der Exklusion: Palimpseste des Ortes und selective Darstellung. In Wikipedia. eds. S. Lampe, and P. Bäumer. Bundeszentrale für politische Bildung/bpb, Bonn.

Graham, M. 2011. Wiki Space: Palimpsests and the Politics of Exclusion. In Critical Point of View: A Wikipedia Reader. Eds. Lovink, G. and Tkacz, N. Amsterdam: Institute of Network Cultures, 269-282.

References

Ford, H. (2011) The Missing Wikipedians. In Geert Lovink and Nathaniel Tkacz (eds), Critical Point of View: A Wikipedia Reader, Amsterdam: Institute of Network Cultures, 2011. ISBN: 978-90-78146-13-1.

Graham, M., M. Zook., and A. Boulton. 2013. Augmented Reality in the Urban Environment: contested content and the duplicity of code. Transactions of the Institute of British Geographers. 38(3), 464-479.

Graham, M and M. Zook. 2013. Augmented Realities and Uneven Geographies: Exploring the Geo-linguistic Contours of the Web. Environment and Planning A 45(1) 77-99.

Graham, M. 2013. The Virtual Dimension. In Global City Challenges: debating a concept, improving the practice. eds. M. Acuto and W. Steele. London: Palgrave. 117-139.

Mark Graham is a Senior Research Fellow at the OII. His research focuses on Internet and information geographies, and the overlaps between ICTs and economic development.

Chris: Yes, at the end of the 2000s when the first fibre cables landed in East Africa, there was much anticipation about what this new connectivity would mean for the region. I remember I was in Tanzania at the time, and people were very excited about this development – being tired of the slow and expensive satellite connections where even simple websites could take a minute to load. The perception, both in the international press and from East African politicians was that the cables would be a game changer. Firms would be able to market and sell more directly to customers and reduce inefficient ‘intermediaries’. Connectivity would allow new types of digital-driven business, and it would provide opportunity for small and medium firms to become part of the global economy. We wanted to revisit this discussion. Were firms adopting internet, as it became cheaper? Had this new connectivity had the effects that were anticipated, or was it purely hype?

Ed:  So what is the current level and quality of broadband access in Rwanda? ie how connected are people on the ground?

Chris: Internet access has greatly improved over the previous few years, and the costs of bandwidth have declined markedly. The government has installed a ‘backbone’ fibre network and in the private sector there has also been a growth in the number of firms providing Internet service. There are still some problems though. Prices are still are quite high, particularly for dedicated broadband connections, and in the industries we looked at (tea and tourism) many firms couldn’t afford it. Secondly, we heard a lot of complaints that lower bandwidth connections – WiMax and mobile internet – are unreliable and become saturated at peak times. So, Rwanda has come a long way, but we expect there will be more improvements in the future.

Ed: How much impact has the Internet had on Rwanda’s economy generally? And who is it actually helping, if so?

Chris: Economists in the World Bank have calculated that in developing economies a 10% improvement in Internet access leads to an increase in growth of 1.3%, so the effects should be taken seriously. In Rwanda, it’s too early to concretely see the effects in bottom line economic growth. In Rwanda, it’s too early to concretely see the effects in bottom line economic growth. In this work we wanted to examine the effect on already established sectors to get insight on Internet adoption and use. In general, we can say that firms are increasingly adopting Internet connectivity in some form, and that firms have been able take advantage and improve operations. However, it seems that wider transformational effects of connectivity have so far been limited.

Ed: And specifically in terms of the Rwandan tea and tourism industries: has the Internet had much effect?

Chris: The global tourism industry is driven by Internet use, and so tour firms, guides and hotels in Rwanda have been readily adopting it. We can see that the Internet has been beneficial, particularly for those firms coordinating tourism in Rwanda, who can better handle volumes of tourists. In the tea industry, adoption is a little lower but the Internet is used in similar ways – to coordinate the movement of tea from production to processing to selling, and this simplifies management for firms. So, connectivity has had benefits by improvements in efficiency, and this complements the fact that both sectors are looking to attract international investment and become better integrated into markets. In that sense, one can say that the growth in Internet connectivity is playing a significant role in strategies of private sector development.

Ed: The project partly focuses on value chains: ie where value is captured at different stages of a chain, leading (for example) from Rwandan tea bush to UK Tesco shelf. How have individual actors in the chain been affected? And has there been much in the way of (the often promised) disintermediation — ie are Rwandan tea farmers and tour operators now able to ‘plug directly’ into international markets?

Chris: Value chains allow us to pay more attention to who are the winners (and losers) of the processes described above, and particularly to see if this benefits Rwandan firms who are linked into global markets. One of the potential benefits originally discussed around new connectivity was that with the growth of online channels and platforms — and through social media — that firms as they became connected would have a more direct link to large markets and be able to disintermediate and improve the benefits they received. Generally, we can say that such disintermediation has not happened, for different reasons. In the tourism sector, many tourists are still reluctant to go directly to Rwandan tourist firms, for reasons related to trust (particularly around payment for holidays). In the tea sector, the value chains are very well established, and with just a few retailers in the end-markets, direct interaction with markets has simply not materialised. So, the hope of connectivity driving disintermediation in value chains has been limited by the market structure of both these sectors.

Ed: Is there any sense that the Internet is helping to ‘lock’ Rwanda into global markets and institutions: for example international standards organisations? And will greater transparency mean Rwanda is better able to compete in global markets, or will it just allow international actors to more efficiently exploit Rwanda’s resources — ie for the value in the chain to accrue to outsiders?

Chris: One of the core activities around the Internet that we found for both tea and tourism was firms using connectivity as a way to integrate themselves into logistic tracking, information systems, and quality and standards; whether this be automation in the tea sector or using global booking systems in the tourism sector. In one sense, this benefits Rwandan firms in that it’s crucial to improving efficiency in global markets, but it’s less clear that benefits of integration always accrue to those in Rwanda. It also moves away from the earlier ideas that connectivity would empower firms, unleashing a wave of innovation. To some of the firms we interviewed, it felt like this type of investment in the Internet was simply a way for others to better monitor, define and control every step they made, dictated by firms far away.

Ed. How do the project findings relate to (or comment on) the broader hopes of ICT4D developers? ie does ICT (magically) solve economic and market problems — and if so, who benefits?

Chris: For ICT developers looking to support development, there is often a tendency to look to build for actors who are struggling to find markets for their goods and services (such as apps linking buyers and producers, or market pricing information). But, the industries we looked at are quite different — actors (even farmers) are already linked via value chains to global markets, and so these types of application were less useful. In interviews, we found other informal uses of the Internet amongst lower-income actors in these sectors, which point the way towards new ICT applications: sectoral knowledge building, adapting systems to allow smallholders to better understand their costs, and systems to allow better links amongst cooperatives. More generally for those interested in ICT and development, this work highlights that changes in economies are not solely driven by connectivity, particularly in industries where rewards are already skewed towards larger global firms over those in developing countries. This calls for a context-dependent analysis of policy and structures, something that can be missed when more optimistic commentators discuss connectivity and the digital future.

Christopher Foster was talking to blog editor David Sutcliffe.

Ed: In basic terms, what patterns of ‘information geography’ are you seeing in the region?

Mark: The first pattern that we see is that the Middle East and North Africa are relatively under-represented in Wikipedia. Even after accounting for factors like population, Internet access, and literacy, we still see less contact than would be expected. Second, of the content that exists, a lot of it is in European and French rather than in Arabic (or Farsi or Hebrew). In other words, there is even less in local languages.

And finally, if we look at contributions (or edits), not only do we also see a relatively small number of edits originating in the region, but many of those edits are being used to write about other parts of the word rather than their own region. What this broadly seems to suggest is that the participatory potentials of Wikipedia aren’t yet being harnessed in order to even out the differences between the world’s informational cores and peripheries.

Ed: How closely do these online patterns in representation correlate with regional (offline) patterns in income, education, language, access to technology (etc.) Can you map one to the other?

Mark: Population and broadband availability alone explain a lot of the variance that we see. Other factors like income and education also play a role, but it is population and broadband that have the greatest explanatory power here. Interestingly, it is most countries in the MENA region that fail to fit well to those predictors.

Ed: How much do you think these patterns result from the systematic imposition of a particular view point – such as official editorial policies – as opposed to the (emergent) outcome of lots of users and editors acting independently?

Mark: Particular modes of governance in Wikipedia likely do play a factor here. The Arabic Wikipedia, for instance, to combat vandalism has a feature whereby changes to articles need to be reviewed before being made public. This alone seems to put off some potential contributors. Guidelines around sourcing in places where there are few secondary sources also likely play a role.

Ed: How much discussion (in the region) is there around this issue? Is this even acknowledged as a fact or problem?

Mark: I think it certainly is recognised as an issue now. But there are few viable alternatives to Wikipedia. Our goal is hopefully to identify problems that lead to solutions, rather than simply discouraging people from even using the platform.

Ed: This work has been covered by the Guardian, Wired, the Huffington Post (etc.) How much interest has there been from the non-Western press or bloggers in the region?

Mark: There has been a lot of coverage from the non-Western press, particularly in Latin America and Asia. However, I haven’t actually seen that much coverage from the MENA region.

Ed: As an academic, do you feel at all personally invested in this, or do you see your role to be simply about the objective documentation and analysis of these patterns?

Mark: I don’t believe there is any such thing as ‘objective documentation.’ All research has particular effects in and on the world, and I think it is important to be aware of the debates, processes, and practices surrounding any research project. Personally, I think Wikipedia is one of humanity’s greatest achievements. No previous single platform or repository of knowledge has ever even come close to Wikipedia in terms of its scale or reach. However, that is all the more reason to critically investigate what exactly is, and isn’t, contained within this fantastic resource. By revealing some of the biases and imbalances in Wikipedia, I hope that we’re doing our bit to improving it.

Ed: What factors do you think would lead to greater representation in the region? For example: is this a matter of voices being actively (or indirectly) excluded, or are they maybe just not all that bothered?

Mark: This is certainly a complicated question. I think the most important step would be to encourage participation from the region, rather than just representation of the region. Some of this involves increasing some of the enabling factors that are the prerequisites for participation; factors like: increasing broadband access, increasing literacy, encouraging more participation from women and minority groups.

Some of it is then changing perceptions around Wikipedia. For instance, many people that we spoke to in the region framed Wikipedia as an American our outside project rather than something that is locally created. Unfortunately we seem to be currently stuck in a vicious cycle in which few people from the region participate, therefore fulfilling the very reason why some people think that they shouldn’t participate. There is also the issue of sources. Not only does Wikipedia require all assertions to be properly sourced, but secondary sources themselves can be a great source of raw informational material for Wikipedia articles. However, if few sources about a place exist, then it adds an additional burden to creating content about that place. Again, a vicious cycle of geographic representation.

My hope is that by both working on some of the necessary conditions to participation, and engaging in a diverse range of initiatives to encourage content generation, we can start to break out of some of these vicious cycles.

Ed: The final moonshot question: How would you like to extend this work; time and money being no object?

Mark: Ideally, I’d like us to better understand the geographies of representation and participation outside of just the MENA region. This would involve mixed-methods (large scale big data approaches combined with in-depth qualitative studies) work focusing on multiple parts of the world. More broadly, I’m trying to build a research program that maintains a focus on a wide range of Internet and information geographies. The goal here is to understand participation and representation through a diverse range of online and offline platforms and practices and to share that work through a range of publicly accessible media: for instance the ‘Atlas of the Internet’ that we’re putting together.

Mark Graham was talking to blog editor David Sutcliffe.

Mark Graham is a Senior Research Fellow at the OII. His research focuses on Internet and information geographies, and the overlaps between ICTs and economic development.

Ed: Concerns have been expressed (eg by Hillary Clinton and David Cameron) about the detrimental role China may play in African media sectors, by increasing authoritarianism and undermining Western efforts to promote openness and freedom of expression. Are these concerns fair?

Iginio: China’s initiatives in the communication sector abroad are burdened by the negative record of its domestic media. For the Chinese authorities this is a challenge that does not have an easy solution as they can’t really use their international broadcasters to tell a different story about Chinese media and Chinese engagement with foreign media, because they won’t be trusted. As the linguist George Lakoff has explained, if someone is told “Don’t think of an elephant!” he will likely start “summoning the bulkiness, the grayness, the trunkiness of an elephant”. That is to say, “when we negate a frame, we evoke a frame”. Saying that “Chinese interventions are not increasing authoritarianism” won’t help much. The only path China can undertake is to develop projects and use its media in ways that fall outside the realm of what is expected, creating new associations between China and the media, rather than trying to redress existing ones. In part this is already happening. For example, CCTV Africa, the new initiative of state-owned China’s Central Television (CCTV) and China’s flagship effort to win African hearts and minds, has developed a strategy aimed not at directly offering an alternative image of China, but at advancing new ways of looking at Africa, offering unprecedented resources to African journalists to report from the continent and tapping into the narrative of a “rising Africa”, as a continent of opportunities rather than of hunger, wars and underdevelopment.

Ed: Ideology has disappeared from the language of China-Africa cooperation, largely replaced by admissions of China’s interest in Africa’s resources and untapped potential. Does politics (eg China wanting to increase its international support and influence) nevertheless still inform the relationship?

China’s efforts in Africa during decolonisation were closely linked to its efforts to export and strengthen the socialist revolution on the continent. Today the language of ideology has largely disappeared from public statements, leaving less charged references to the promotion of “mutual benefit” and “sovereignty and independence” as guides of the new engagement. At the same time, this does not mean that the Chinese government has lost interest in engaging at the political/ideological level when the conditions allow. Identity of political views is not a precondition for engagement anymore but neither is it an aspiration, as China is not necessarily trying to influence local politics in ways that could promote socialism. But when there is already a resonance with the ideas embraced by its partners, Chinese authorities have not shied away from taking the engagement to a political/ideological level. This is demonstrated for example by party to party ties between the Communist Party of China (CUC) and other Socialist parties in Africa, including the Ethiopian People’s Revolutionary Democratic Front. Representative of the CUC have been invited to attend the EPRDF’s party conferences.

Ed: How much influence does China have on the domestic media / IT policies of the nations it invests in? Is it pushing the diffusion of its own strategies of media development and media control abroad? (And what are these strategies if so?)

Iginio: The Chinese government has signalled its lack of interest in exporting its own development model, and its intention to simply respond to the demands of its African partners. Ongoing research has largely confirmed that this ‘no strings attached’ approach is consistent, but this does not mean that China’s presence on the continent is neutral or has no impact on development policies and practices. China is indirectly influencing media/IT policies and practices in at least three ways.

First, while Western donors have tended to favour media projects benefiting the private sector and the civil society, often seeking to create incentives for the state to open a dialogue with other forces in society, China has exhibited a tendency to privilege government actors, thus increasing governments’ capacity vis-à-vis other critical components in the development of a media and telecommunication systems.

Second, with the launch of media projects such as CCTV Africa China has dramatically boosted its potential to shape narratives, exert soft power, and allow different voices to shape the political and development agenda. While international broadcasters such as the BBC World Service and Aljazeera have often tended to rely on civil society organisations as gatekeepers of information, CCTV has so far shown less interest in these actors, privileging the formal over the informal and also as part of its effort to provide more positive news from the continent.

Third, China’s domestic example to balance between investment in media and telecommunication and efforts to contain the risks of political instability that new technologies may bring, has the potential to act as a legitimising force for other states that share concerns of balancing both development and security, and that are actively seeking justifications for limiting voices and uses of technology that are considered potentially destabilising.

Ed: Is China developing tailored media models for abroad, or even using Africa as a “development lab”? How does China’s interest in Africa’s mediascape compare with its interest in other regions worldwide?

Iginio: There are concerns that, just as Western countries have tried to promote their models in Africa, China will try to export its own. As mentioned earlier, no studies to date have proved this to be the case. Rather, Africa indeed seems to be emerging as a “development lab”, a terrain in which to experiment and progressively find new strategies for engagement. Despite Africa’s growing importance for China as a trading and geostrategic partner, the continent is still perceived as a space where it is possible to make mistakes. In the case of the media, this is resulting in greater opportunities for journalists to experiment with new styles and enjoy freedoms that would be more difficult to obtain back in China, or even in the US, where CCTV has launched another regional initiative, CCTV America, which is more burdened, however, by the ideological confrontation between the two countries.

As part of Oxford’s Programme in Comparative Media Law and Policy‘s (PCMLP’s) ongoing research on China’s role in the media and communication sector in Africa, we have proposed a framework that can encourage understanding of Chinese engagement in the African mediasphere in terms of its original contributions, and not simply as a negative of the impression left by the West. This framework breaks down China’s actions on the continent according to China’s ability to act as a partner, a prototype, and a persuader, questioning, for example, whether or not media projects sponsored by the Chinese government are facilitating the diffusion of some aspects that characterise the Chinese domestic media system, rather than assuming this will be the case.

China’s role as a partner is evident in the significant resources it provides to African countries to implement social and economic development projects, including the laying down of infrastructure to increase Internet and mobile access. China’s perception as a prototype is linked to the ability its government has shown in balancing between investment in media and ICTs and containment of the risks of political instability new technologies may bring. Finally, China’s presence in Africa can be assessed according to its modality and ability to act as a persuader, as it seeks to shape national and international narratives.

So far we have employed this framework only to look at Chinese engagement in Africa, focusing in particular on Ghana, Ethiopia and Kenya, but we believe it can be applied also in other areas where China has stepped up its involvement in the ICT sector.

Ed: Has there been any explicit conflict yet between Chinese and non-Chinese news corporations vying for influence in this space? And how crowded is that space?

Iginio: The telecommunication sector in Africa is increasingly crowded as numerous international corporations from Europe (e.g. Vodafone), India (e.g. Airtel) and indeed China (e.g. Huawei and ZTE) are competing for shares of a profitable and growing market. Until recently Chinese companies have avoided competing with one another, but things are slowly changing. In Ethiopia, for example, after an initial project funded by the Chinese government to upgrade the telecommunication infrastructure was entirely commissioned to Chinese telecom giant ZTE, which is partially owned by the state, now ZTE has entered in competition with its Chinese (and privately owned) rival, Huawei, to benefit from an extension of the earlier project. In Kenya Huawei even decided to take ZTE to court over a project its rival won to supply the Kenyan police with a communication and surveillance system. Chinese investments in the telecommunication sectors in Africa have been part of the government’s strategy of engagement in the continent, but profit seems to have become an increasingly important factor, even if this may interfere with this strategy.

Ed: How do the recipient nations regard China’s investment and influence? For example, is there any evidence that authoritarian governments are seeking to adopt aspects of China’s own system?

Iginio: China is perceived as an example mostly by those countries that are seeking to balance between investment in ICTs and containment of the risks of political instability new technologies may bring. In a Wikileaks cable reporting a meeting between Sebhat Nega, one of the Ethiopian government’s ideologues, and the then US ambassador Donald Yamamoto, for example, Sebhat was reported to have openly declared his admiration for China and stressed that Ethiopia “needs the China model to inform the Ethiopian people”.

Iginio Gagliardone is a British Academy Post-Doctoral Research Fellow at the Centre for Socio-Legal Studies, University of Oxford. His research focuses on the role of the media in political change, especially in Sub-Saharan Africa, and the adaptation of international norms of freedom of expression in authoritarian regimes. Currently, he is exploring the role of emerging powers such as China in promoting alternative conceptions of the Internet in Africa. In particular he is analysing whether and how the ideas of state stability, development and community that characterize the Chinese model are influencing and legitimizing the development of a different conception of the information society.

Iginio Gagliardone was talking to blog editor David Sutcliffe.

As an introduction, it might be helpful to reflect on the French colonial concepts of l’Afrique utile and l’Afrique inutile (concepts most recently re-invoked by William Reno in 1999 and James Ferguson in 2005). L’Afrique utile, or usable Africa represented parts of Africa over which private actors felt they could exercise a degree of governance and control, and therefore extract profit. L’Afrique inutile, on the other hand, was the no-go area: places deemed too risky, too opaque and too wild for commercial profit. Until recently, it was difficult to convince multinationals to view Africa as usable and profitable because much economic activity took place in the unaccounted informal economy. With the exception of a few oil, gas and mineral installations and some export commodities like cocoa, cotton, tobacco, rubber, coffee, and tea, multinationals stayed out of the continent. Likewise, within the accounts of national public policy-making institutions, it was only the very narrow formal and recordable parts of the economy that were recorded. In a similar way that economists have traditionally excluded unpaid domestic labour from national accounts, most African states only scratched the surface of their populations’ true economic lives.

The mobile phone has undoubtedly changed the way private companies and public bodies view African economies. Firstly, the mobile phone has demonstrated that Africans can be voracious consumers at the bottom of the pyramid (paving the way for the distribution of other low-cost items such as soap, sanitary pads, soft drinks, etc.). While the colonial scramble for Africa focused on what lay in Africa’s lands and landscapes, the new scramble is focused on its people and markets (and workers; as the growing interest in business process outsourcing demonstrates).

Secondly, mobile phones (and other kinds of information and communication technologies) have created new channels of information about Africans and African markets, particularly in the informal sector. In an era where so much of the apparatus for measuring Africa’s economies has been weakened, this kind of data reaps enormous potential. One might say that the mobile phone and the internet have made former parts of l’Afrique inutile into l’Afrique utile — open for business, profit, analysis, and perhaps, control.

The ‘scramble for Africa’s data‘ is taking place within a particular historical trajectory of knowledge production. Africa has always been a laboratory for Western scientists and researchers, with local knowledge production often influenced by foreign powers and foreign ideas (think back to the early reliance on primary products for export, to which the entire colonial system of economic measurement and development planning was geared). Within the contemporary context of ever-expanding higher education and dwindling finances for local research, African academics and researchers have been forced to take on more and more consultancies and private contracts.

This ‘extraversion’ of African institutions of higher education has contributed to a re-orientation of the apparatus for academic research towards questions posed from outside. Within state bodies, similar processes are underway. Weakened by corruption, Structural Adjustment Policies (SAP), and pervasive informal economic activity, management of the economy has migrated from state institutions into the better paid offices of NGOs, consultancies and private companies. State capacity to measure and model is presently very weak, and African governments are therefore being encouraged to ‘open’ up their own records to non-state researchers. It is into this research context that big data emerges as a new source of ‘legibility’.

ICTs offer obvious benefits to economic researchers. They have often been heralded as offering potentially more democratic and participatory kinds of ‘legibility’. Their potential partly lies in the way that ICTs activate ‘social networks’ into infrastructures through which external actors can deliver and extract information. This ‘sociability’ makes them particularly suitable for studying informal economic networks. ICTs also offer the potential to modernise existing streams of data collection and broaden intra-institutional coordination, leading to better collaboration and more targeted public policy. In our project on the economic impacts of fibre optic broadband in East Africa, we have seen how institutions such as the Kenya Tea Board and the Rwandan Health Ministry are better integrating their information systems in order to gain a better national picture, and thereby contribute to industrial upgrading in the case of tea or better public services in the case of health. Nevertheless, big data is not accessible to all, and researchers must often prove commercial or strategic value in order to gain access.

Use of ‘big data’ is still a growing field, born within the discipline of computer science. My initial interviews with big data researchers working on Africa indicate they are still figuring out what kinds of questions can be answered with big data and how they might justify themselves and their methodologies to mainstream economics. Big data’s potential for hypothesis-building is somewhat at odds with the tradition of hypothesis-testing in economics. Big data researchers start with the question, ‘Where can this data lead me?’ There is also the question of how restricted access might frame research design. To date, the researchers that have been most successful in gaining access to African big data have worked with private companies, banks and financial institutions. It is therefore the incorporation and integration of poor people into private sector understandings that big data currently seems to offer.

This vision of development fits into a broader trend. Just as Hernando de Soto has argued that development is hampered by the exclusion of poor people from formalised property rights, proponents of microcredit have likewise argued it is the poor’s exclusion from financial institutions that limit their ability to develop self-sustaining enterprises. Researchers are therefore encouraged to use big data to model poor peoples’ actions and credit worthiness to incorporate them into financial systems, thereby transforming them from invisible selves into visible selves.

Critics of microfinance have cautioned that incorporating poor people into globalised structures of finance makes them more vulnerable to state interference in the form of taxes and to debt and international financial crises. It is also unclear what the drift into the private sector might do to wider understandings of poverty. While national measures situate citizens as members of national or collective groups, mobile financial innovations often focus on the individual’s financial records and credit worthiness. It remains to be seen whether this change of focus might move us away from more social definitions for poverty towards more individual or private explanations.

Likewise the flow of digital information across geographical space has the potential to change the nature of collaboration. As Mahmoud Mamdani has cautioned, “The global market tends to relegate Africa to providing raw material (“data”) to outside academics who process it and then re-export their theories back to Africa. Research proposals are increasingly descriptive accounts of data collection and the methods used to collate data, collaboration is reduced to assistance, and there is a general impoverishment of theory and debate”. This problem could potentially be exacerbated by open data initiatives that seek to get more people using publicly collected data. As Morten Jerven writes in his recent book, Poor Numbers, interactions between African data producers and users are currently limited, with users often unable to effectively assess the source and methods used to collect the original data. Nevertheless, such numbers are often taken at face value, with dubious policy recommendations formed as a result. While multiple sources of data (from the public and private sector) can help increase the precision of research and lead to better conclusions, we do not understand how big data (and open data) will impact the overall research environment in Africa.

My next project will examine these issues in relation to economic studies of unemployment in Egypt and financial inclusion in Uganda. The key objectives will be to improve our understanding of how data is being collected, how data is being communicated across groups and within systems, how new models of the economy are being formed, and what these changes are doing to political and economic relationships on the ground. Specifically, the project poses six interrelated questions: Where is economic intelligence and expertise currently located? What is being measured by whom, and how, and why? How do different tools of measurement change the way researchers understand economic truth and construct their models? How does more ‘legibility’ over African economies change power relations? What resistance or critical thinking exists within these new configurations of expertise? How can we combine approaches to assemble a fuller picture of economic understanding? The project will emphasise how economics, as a discipline, does not merely measure external reality, but helps to shape and influence that reality.

How we measure economies matters, particularly in the context of ever increasing evidence-based policy-making and with increasing interest from the private sector in Africa. Measurement often changes and shapes our realities of the external world. As Timothy Mitchell writes: “the practices that form the economy operate, in part, to establish equivalences, contain circulations, identify social actors or agents, make quantities and performances measurable, and designate relations of control and command”. In other words, researchers cannot make sense of an economy without first establishing a research infrastructure through which subjects are measured and incorporated. The particular shape, tools and technologies of that research infrastructure help frame and construct economic models and truth.

Such frames also have political implications, as control over information often strengthens one group over others. Indeed, as James C. Scott’s work Seeing Like a State has shown, the struggle to establish legibility over societies is inherently political. Elites have always attempted to standardise and regularise more marginal groups in an effort to draw them into dominant political and economic orders. However, legibility does not have be ‘top-down’. Weaker groups suffer most from illegible societies, and can benefit from more legibility. As information and trust become more deeply embedded within stronger ties and within transnational networks of skill and expertise, marginalised ‘out groups’ are particularly disadvantaged.

While James C. Scott’s work highlighted the dangers of a high modernist ‘legibility’, the very absence of legibility can also disempower marginal groups. It is the kind of legibility at stake that is important. While big data offers enormous potential for economists to better understand what is going on in Africa’s informal economies, economic sociologists, anthropologists and historians must remind them how our tools and measurements influence systems of knowledge production and change our understandings and beliefs about the external world. Africa might be becoming ‘more usable’ and ‘more legible,’ but we need to ask, for whom, by whom, and for what purpose?

Dr Laura Mann is a Postdoctoral Researcher at the Oxford Internet Institute, University of Oxford. Her research focuses on the political economy of markets and value chains in Africa. Her current research examines the effects of broadband internet on the tea, tourism and outsourcing value chains of Kenya and Rwanda. From January 2014 she will be based at the African Studies Centre at Leiden University. Read Laura’s blog.

After the last decade’s exponential rise in ICT use, Africa is fast becoming a source of big data. Africans are increasingly emitting digital information with their mobile phone calls, internet use and various forms of digitised transactions, while on a state level e-government starts to become a reality. As Africa goes digital, the challenge for policymakers becomes what the WRR, a Dutch policy organisation, has identified as ‘i-government’: moving from digitisation to managing and curating digital data in ways that keep people’s identities and activities secure.

On one level, this is an important development for African policymakers, given that accurate information on their populations has been notoriously hard to come by and, where it exists, has not been shared. On another, however, it represents a tremendous challenge. The WRR has pointed out the unpreparedness of European governments, who have been digitising for decades, for the age of i-government. How are African policymakers, as relative newcomers to digital data, supposed to respond?

There are two possible scenarios. One is that systems will develop for the release and curation of Africans’ data by corporations and governments, and that it will become possible, in the words of the UN’s Global Pulse initiative, to use it as a ‘public good’ – an invaluable tool for development policies and crisis response. The other is that there will be a new scramble for Africa: a digital resource grab that may have implications as great as the original scramble amongst the colonial powers in the late 19^th century.

We know that African data is not only valuable to Africans. The current wave of digitisation has the potential to make the continent’s citizens a rich mine of data about health interventions, human mobility, conflict and violence, technology adoption, communication dynamics and financial behaviour, with the default mode being for this to happen without their consent or involvement, and without ethical and normative frameworks to ensure data protection or to weigh the risks against the benefits. Orange’s recent release of call data from Cote d’Ivoire both represents an example of the emerging potential of African digital data, but also the challenge of understanding the kind of anonymisation and ethical challenge that it represents.

I have heard various arguments as to why data protection is not a problem for Africans. One is that people in African countries don’t care about their privacy because they live in a ‘collective society’. (Whatever that means.) Another is that they don’t yet have any privacy to protect because they are still disconnected from the kinds of system that make data privacy important. Another more convincing and evidence-based argument is that the ends may justify the means (as made here by the ICRC in a thoughtful post by Patrick Meier about data privacy in crisis situations), and that if significant benefits can be delivered using African big data these outweigh potential or future threats to privacy. The same argument is being made by Global Pulse, a UN initiative which aims to convince corporations to release data on developing countries as a public good for use in devising development interventions.

There are three main questions: what can incentivise African countries’ citizens and policymakers to address privacy in parallel with the collection of massive amounts of personal data, rather than after abuses occur? What are the models that might be useful in devising privacy frameworks for groups with restricted technological access and sophistication? And finally, how can such a system be participatory enough to be relevant to the needs of particular countries or populations?

Regarding the first question, this may be a lost cause. The WRR’s i-government work suggests that only public pressure due to highly publicised breaches of data security may spur policymakers to act. The answer to the second question is being pursued, among others, by John Clippinger and Alex Pentland at MIT (with their work on the social stack); by the World Economic Forum, which is thinking about the kinds of rules that should govern personal data worldwide; by the aforementioned Global Pulse, which has a strong interest in building frameworks which make it safe for corporations to share people’s data; by Microsoft, which is doing some serious thinking about differential privacy for large datasets; by independent researchers such as Patrick Meier, who is looking at how crowdsourced data about crises and human rights abuses should be handled; and by the Oxford Internet Institute’s new M-Data project which is devising privacy guidelines for collecting and using mobile connectivity data.

Regarding the last question, participatory systems will require African country activists, scientists and policymakers to build them. To be relevant, they will also need to be made enforceable, which may be an even greater challenge. Privacy frameworks are only useful if they are made a living part of both governance and citizenship: there must be the institutional power to hold offenders accountable (in this case extremely large and powerful corporations, governments and international institutions), and awareness amongst ordinary people about the existence and use of their data. This, of course, has not really been achieved in developed countries, so doing it in Africa may not exactly be a piece of cake.

Notwithstanding these challenges, the region offers an opportunity to push researchers and policymakers – local and worldwide – to think clearly about the risks and benefits of big data, and to make solutions workable, enforceable and accessible. In terms of data privacy, if it works in Burkina Faso, it will probably work in New York, but the reverse is unlikely to be true. This makes a strong argument for figuring it out in Burkina Faso.

Some may contend that this discussion only points out the massive holes in the governance of technology that prevail in Africa – and in fact a whole other level of problems regarding accountability and power asymmetries. My response: Yes. Absolutely.

Linnet Taylor’s research focuses on social and economic aspects of the diffusion of the internet in Africa, and human mobility as a factor in technology adoption (.. read her blog). Her doctoral research was on Ghana, where she looked at mobility’s influence on the formation and viability of internet cafes in poor and remote areas, networking amongst Ghanaian technology professionals and ICT4D policy. At the OII she works on a Sloan Foundation funded project on Accessing and Using Big Data to Advance Social Science Knowledge.

Information is the raw material for much of the work that goes on in the contemporary global economy, and visibility and voice in this information ecosystem is a prerequisite for influence and control. As Hand and Sandywell (2002: 199) have argued, “digitalised knowledge and its electronic media are indeed synonymous with power.” As such, it is important to understand who produces and reproduces information, who has access to it, and who and where are represented by it.

Traditionally, information and knowledge about the world have been geographically constrained. The transmission of information required either the movement of people or the availability of some other medium of communication. However, up until the late 20th century, almost all mediums of information – books, newspapers, academic journals, patents and the like – were characterised by huge geographic inequalities. The global north produced, consumed and controlled much of the world’s codified knowledge, while the global south was largely left out.

Today, the movement of information is, in theory, rarely constrained by distance. Very few parts of the world remain disconnected from the grid, and over 2 billion people are now online (most of them in the Global South). Unsurprisingly, many believe we now have the potential to access what Wikipedia’s founder Jimmy Wales refers to as “the sum of all human knowledge”. Theoretically, parts of the world that have been left out of flows and representations of knowledge can be quite literally put back on the map.

However, “potential” has too often been confused with actual practice, and stark digital divisions of labour are still evident in all open platforms that rely on user-generated content. Google Map’s databases contain more indexed user-generated content about the Tokyo metropolitan region than the entire continent of Africa. On Wikipedia, there is more written about Germany than about South America and Africa combined. In other words, there are massive inequalities that cannot simply be explained by uneven Internet penetration. A range of other physical, social, political and economic barriers are reinforcing this digital divide, amplifying the informational power of the already powerful and visible.

That’s not to say that the Internet doesn’t have important implications for the developing world. People use it not just to connect with friends and family, but to learn, share information, trade, and represent their communities. However, it’s important to be aware of the Internet’s highly uneven geographies of information. These inequalities matter to the south, because connectivity – despite being a clear prerequisite for access to most 21st-century platforms of knowledge sharing – by no means guarantees knowledge production and digital participation.

How do we move towards encouraging participation from (and about) parts of the world that are currently left out of virtual representations? The first step is to allow people to see what is, and isn’t, represented; something we are planning with this project. After that, there’s also a clear need for plans like Kenya’s strategy to boost local digital content, or Wikimedia’s Arabic Catalyst project, which aims to encourage the creation of content in Arabic and provide information about the Middle East.

It remains to be seen how effective such strategies will be in changing the highly uneven digital division of labour. As we rely increasingly on user-generated platforms, there is a real possibility that we will see the widening of divides between “digital cores” and “peripheries”. It’s therefore crucial to keep asking where visibility, voice and power reside in our increasingly networked world.

References

Graham, M. and M. Zook. 2013. Augmented Realities and Uneven Geographies: Exploring the Geo-linguistic Contours of the Web. Environment and Planning A 45(1) 77-99.

Graham, M. 2013. The Virtual Dimension. In Global City Challenges: debating a concept, improving the practice. eds. M. Acuto and W. Steele. London: Palgrave.

Graham, M., M. Zook., and A. Boulton. 2012. Augmented Reality in the Urban Environment: contested content and the duplicity of code. Transactions of the Institute of British Geographers. DOI: 10.1111/j.1475-5661.2012.00539.x

Graham, M. 2013. The Knowledge Based Economy and Digital Divisions of Labour. In Companion to Development Studies, 3rd edition, eds V. Desai, and R. Potter. Hodder.

Hand, M. and B. Sandywell. 2002. E-topia as Cosmopolis or Citadel On the Democratizing and De-democratizing Logics of the Internet, or, Toward a Critique of the New Technological Fetishism. Theory, Culture & Society

Mark Graham‘s research focuses on Internet and information geographies, and the overlaps between ICTs and economic development. His work on the geographies of the Internet examines how people and places are ever more defined by, and made visible through, not only their traditional physical locations and properties, but also their virtual attributes and digital shadows.

Read Mark’s blog.

If you have ever worried about media bias then you should really worry about the impact of translation. Before the revolutions, the translation software for Egyptian Arabic was almost non-existent. Few translation applications were able to handle the different Arabic dialects or supply coding labor and capital to build something that could contend with internet blackouts. Google’s Speak to Tweet became the dominant application used in the Egyptian uprisings, delivering one homogenized source of information that fed the other sources. In 2011, this collaboration helped circumvent the problem of Internet connectivity in Egypt by allowing cellphone users to call their tweet into a voicemail to be transcribed and translated. A crowd of volunteers working for Twitter enhanced translation of Egyptian Arabic after the Tweets were first transcribed by a Mechanical Turk application trained from an initial 10 hours of speech.

The unintended consequence of these crowdsourcing applications was that when the material crossed the language barrier into English, it often became inaccessible to the original contributors. Individuals on the ground essentially ceded authorship to crowds of untrained volunteer translators who stripped the information of context, and then plotted it in categories and on maps without feedback from original sources. Controlling the application meant controlling the information flow, the lens through which the revolutions were conveyed to the outside world.

This flawed system prevented the original sources (e.g. in Libya) from interacting with the information that directly related to their own life-threatening situation, while the information became an unsound basis for decision-making by international actors. As Stottlemyre describes, ceding authorship was sometimes an intentional strategy, but also one imposed by the nature of the language/power imbalance and the failure of the translation applications and the associated projects to incorporate feedback loops or more two-way communication.

The after action report for the Libya Crisis Map project commissioned by the UN OCHA offers some insight into the disenfranchisement of sources to the decision-making process once they had provided information for the end product; the crisis map. In the final ‘best practices section’ reviewing the outcomes, The Standby Task Force which created the map described decision-makers and sources, but did not consider or mention the sources’ access to decision-making, the map, or a mechanism by which they could feed back to the decision-making chain. In essence, Libyans were not seen as part of the user group of the product they helped create.

How exactly does translation and crowdsourcing shape our understanding of complex developing crises, or influence subsequent policy decisions?  The SMS polling initiative launched by Al Jazeera English in collaboration with Ushahidi, a prominent crowdsourcing platform, illustrates the most common process of visualizing crisis information: translation, categorization, and mapping.  In December 2011, Al Jazeera launched Somalia Speaks, with the aim of giving a voice to the people of Somalia and sharing a picture of how violence was impacting everyday lives. The two have since repeated this project in Mali, to share opinions about the military intervention in the north.  While Al Jazeera is a news organization, not a research institute or a government actor, it plays an important role in informing electorates who can put political pressure on governments involved in the conflict. Furthermore, this same type of technology is being used on the ground to gather information in crisis situations at the governmental and UN levels.

A call for translators in the diaspora, particularly Somali student groups, was issued online, and phones were distributed on the ground throughout Somalia so multiple users could participate. The volunteers translated the SMSs and categorized the content as either political, social, or economic. The results were color-coded and aggregated on a map.

The stated goal of the project was to give a voice to the Somali people, but the Somalis who participated had no say in how their voices were categorized or depicted on the map. The SMS poll asked an open question:

How has the Somalia conflict affected your life?

In one response example:

The Bosaso Market fire has affected me. It happened on Saturday.

The response was categorized as ‘social.’ But why didn’t the fact that violence happened in a market, an economic centre, denote ‘economic’ categorization? There was no guidance for maintaining consistency among the translators, nor any indication of how the information would be used later. It was these categories chosen by the translators, represented as bright colorful circles on the map, which were speaking to the world, not the Somalis — whose voices had been lost through a crowdsourcing application that was designed with a language barrier. The primary sources could not suggest another category that better suited the intentions of their responses, nor did they understand the role categories would play in representing and visualizing their responses to the English language audience.

An 8 December 2011 comment on the Ushahidi blog described in compelling terms how language and control over information flow impact the power balance during a conflict:

A—-, My friend received the message from you on his phone. The question says “tell us how is conflict affecting your life” and “include your name of location”. You did not tell him that his name will be told to the world. People in Somalia understand that sms is between just two people. Many people do not even understand the internet. The warlords have money and many contacts. They understand the internet. They will look at this and they will look at who is complaining. Can you protect them? I think this project is not for the people of Somalia. It is for the media like Al Jazeera and Ushahidi. You are not from here. You are not helping. It is better that you stay out.

Ushahidi director Patrick Meier, responded to the comment:

Patrick: Dear A—-, I completely share your concern and already mentioned this exact issue to Al Jazeera a few hours ago. I’m sure they’ll fix the issue as soon as they get my message. Note that the question that was sent out does *not* request people to share their names, only the name of their general location. Al Jazeera is careful to map the general location and *not* the exact location. Finally, Al Jazeera has full editorial control over this project, not Ushahidi.

As of 14 January 2012, there were still names featured on the Al Jazeera English website.

The danger is that these categories — economic, political, social — become the framework for aid donations and policy endeavors; the application frames the discussion rather than the words of the Somalis. The simplistic categories become the entry point for policy-makers and citizens alike to understand and become involved with translated material. But decisions and policies developed from the translated information are less connected to ‘real voices’ than we would like to believe.

Developing technologies so that Somalis or Libyans — or any group sharing information via translation — are themselves directing the information flow about the future of their country should be the goal, rather than perpetual simplification into the client / victim that is waiting to be given a voice.