„Scraping the Demos“: Political Epistemologies of Big Data
08.07.2019 to 09.07.2019
Start 13:00, End 14:00
The conference explores political epistemologies of big data. Political epistemologies are practices by which societies construct politically relevant knowledge and the criteria by which they evaluate it. Big data is the practice of deriving socially relevant knowledge from massive and diverse digital trace data. Practices such as “big data analysis”, “web scraping”, “opinion mining”, “sentiment analysis”, “predictive analytics”, and “nowcasting” seem to be common currency in the public and academic debate about the present and future of evidence-based policy making and representative democracy.
Political elites see digital technologies as sources of new and better tools for learning about the citizenry, for increasing political responsiveness and for improving the effectiveness of policies. Political parties and advocacy groups use digital data to address citizens and muster support in a targeted manner; public authorities try to tailor public policy to public sentiment measured-online, forecast and prevent events (as in predictive policing, preemptive security and predictive healthcare), and continuously adapt policies based on real-time monitoring. An entire industry of policy consultants and technology companies thrives on the promise related to the political power of digital data and analytics. And finally, academic research engages in digitally enhanced computational social sciences, digital methods and social physics on the basis of digital trace data, machine learning and computer simulations.