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In a world of “connective action” — what makes an influential Twitter user?

David Sutcliffe - 10 June 2018

Mapping Fentanyl Trades on the Darknet

Our knowledge of how automated agents interact is rather poor (and that could be a problem)

Did you consider Twitter’s (lack of) representativeness before doing that predictive study?

Exploring the world of self-tracking: who wants our data and why?

Estimating the Local Geographies of Digital Inequality in Britain: London and...

1 March 2017

Edit wars! Examining networks of negative social interaction

4 November 2016

Sexism Typology: Literature Review

31 May 2016

Alan Turing Institute and OII: Summit on Data Science for Government...

31 May 2016

P-values are widely used in the social sciences, but often misunderstood:...

7 March 2016

Facts and figures or prayers and hugs: how people with different...

7 March 2016

Topic modelling content from the “Everyday Sexism” project: what’s it all...

3 March 2016

The limits of uberization: How far can platforms go?

29 February 2016

Creating a semantic map of sexism worldwide: topic modelling of content...

7 October 2015

How big data is breathing new life into the smart cities...

23 July 2015

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