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Andy Guess is an associate professor of politics and public affairs at Princeton University. His research employs quantitative and computational methods to analyze the relationship between digital media and politics. He has explored issues such as the extent of polarization in Americans' news consumption habits, the spread of online misinformation, and the effects of ranking algorithms. His work is funded by notable grants from organizations including VolkswagenStiftung, the Russell Sage Foundation, and the National Science Foundation. His research has been published in leading peer-reviewed journals, including Science, Nature Human Behavior, and the American Journal of Political Science. He is a founding co-editor of the Journal of Quantitative Description: Digital Media and is affiliated with the Center for Information Technology Policy and the STEP program at Princeton.
Princeton University • Princeton, NJ
Teaching and conducting research in the fields of politics and public affairs.
GRE scores are not accepted. Ph.D. is the primary degree; students are not required to hold an M.S.E. prior to admission.