Eight years after the Arab Spring there is still much debate over the link between Internet technology and protest against authoritarian regimes. While the debate has advanced beyond the simple question of whether the Internet is a tool of liberation or one of surveillance and propaganda, theory and empirical data attesting to the circumstances under which technology benefits autocratic governments versus opposition activists is scarce. In this book, Nils B. Weidmann and Espen Geelmuyden Rød offer a broad theory about why and when digital technology is used for one end or another, drawing on detailed empirical analyses of the relationship between the use of Internet technology and protest in autocracies. By leveraging new sub-national data on political protest and Internet penetration, they present analyses at the level of cities in more than 60 autocratic countries. The book also introduces a new methodology for estimating Internet use, developed in collaboration with computer scientists and drawing on large-scale observations of Internet traffic at the local level. Through this data, the authors analyze political protest as a process that unfolds over time and space, where the effect of Internet technology varies at different stages of protest. They show that violent repression and government institutions affect whether Internet technology empowers autocrats or activists, and that the effect of Internet technology on protest varies across different national environments.
The 'data revolution' offers many new opportunities for research in the social sciences. Increasingly, social and political interactions can be recorded digitally, leading to vast amounts of new data available for research. This poses new challenges for organizing and processing research data. This comprehensive introduction covers the entire range of data management techniques, from flat files to database management systems. It demonstrates how established techniques and technologies from computer science can be applied in social science projects, drawing on a wide range of different applied examples. This book covers simple tools such as spreadsheets and file-based data storage and processing, as well as more powerful data management software like relational databases. It goes on to address advanced topics such as spatial data, text as data, and network data. This book is one of the first to discuss questions of practical data management specifically for social science projects. This title is also available as Open Access on Cambridge Core.
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