Andy Guess is an associate professor of politics and public affairs at Princeton University whose research uses quantitative and computational methods to study the relationship between digital media and politics. Topics that he's studied include the extent of polarization in Americans' news habits, the consumption and spread of online misinformation, and the effects of ranking algorithms on social media. His work has been supported by grants from VolkswagenStiftung, the Russell Sage Foundation, and the National Science Foundation and published in peer-reviewed journals such as Science, Nature Human Behaviour, and the American Journal of Political Science. He is a founding co-editor of the Journal of Quantitative Description: Digital Media. At Princeton, he is also affiliated with the Center for Information Technology Policy and the STEP program.