I am a PhD candidate in the Department of Sociology at Duke University where I explore how computational methods provide a new lens to view longstanding social science debates. When I am not pondering the potential inherent in the wealth of digital trace data, I dabble in experimental and conventional survey methods. Before starting the doctoral program at Duke, I earned a BA from Freie Universitaet in my hometown Berlin, Germany.
In my recent work, I have used Google search data to study the link between discrimination and radicalization; and combined digital trace data, large-scale field experiments, and panel surveys to test the effect of exposure to opposing views on social media on political polarization. The results of my work are published in Science Advances and the Proceedings of the National Academy of Science (forthcoming).
Bail, Christopher A., et al. “Using Internet search data to examine the relationship between anti-Muslim and pro-ISIS sentiment in U.S. counties..” Science Advances, vol. 4, no. 6, June 2018. Epmc, doi:10.1126/sciadv.aao5948. Full Text Open Access Copy