OII research focuses on individual, collective and institutional behaviour on the internet. Now that digital connections are embedded in almost every aspect of everyday life, such research is crucial to understand the social, economic and political world.
We are a social science department of the University of Oxford with a multi-disciplinary faculty from political science, sociology, law, geography, economics, communications, computer science, anthropology, physics, informatics, history and development. OII researchers use a diverse methodological toolkit, and develop cutting edge methods to understand digital life, such as experiments, social network analysis and big data approaches.
Our work stimulates and informs debate on internet-related issues. It is used by policy-makers around the world to shape policy and practice around the reinvention and use of the internet.
Our research projects examine individual, collective and institutional behaviour on the Internet.
Browse all the faculty publications, including books, articles, reports, working papers, and presentations.
We aggregate over thirty faculty and project blogs, exploring and discussing all aspects of 'life online'.
New article by V.Slavtcheva-Petkova, Vicki Nash, and M.Bulger: Evidence on the extent of harms experienced by children as a result of online risks: implications for policy and research (Information, Communication & Society).
How is society being shaped by the Internet? Society and the Internet (OUP) presents leading research addressing some of the most significant questions in the burgeoning field of Internet Studies.
Who are we, and how do we relate to each other? Luciano Floridi's new book on how the infosphere is reshaping human reality (OUP) argues that developments in ICT are changing the answer to these fundamental questions.
The new report 'The Internet Trust Bubble: Global Values, Beliefs and Practices' by W.Dutton et al. for the World Economic Forum explores global attitudes towards trust and the Internet. Read more about it Bill's blog.
New paper out on the sampling bias introduced when collecting social data through public APIs, by Ning Wang (with S.González-Bailón, A.Rivero, J.Borge-Holthoeferd, and Y.Moreno): Assessing the bias in samples of large online networks. Social Networks 38:16-27.
New paper by Mark Graham (with T.Shelton, A.Poorthuis, M.Zook): Mapping the Data Shadows of Hurricana Sandy: Uncovering the Sociospatial Dimensions of 'Big Data' (Geoforum 52: 167-179).
Read: Mark Graham, and T.Shelton: Geography and the future of big data, big data and the future of geography, Dialogies in Human Geography 3 (3); with commentary from R.Kitchin, E.Ruppert, M.Batty, M.F.Goodchild, S.P.Gorman and S.González-Bailón.
Read: Taha Yasseri and Jonathan Bright: Can electoral popularity be predicted using socially generated big data? They discuss issues relating to data collection, data cleaning, data analysis, and representativeness.