Andrew M. Guess

Andrew M. Guess

Associate Professor of Politics and Public Affairs

Princeton University


Welcome! I am an associate professor of politics and public affairs at Princeton University. I use quantitative and computational methods to study the relationship between digital media and politics.

Please see the Papers page for more information about my research, which explores questions such as:

  • To what extent do digital and social media facilitate encounters with political perspectives that differ from one’s own?
  • How prevalent is online misinformation, how commonly do people encounter it on social media, and what are its effects?
  • What is the relationship between social media and political outcomes such as polarization and trust?
  • How can social platforms improve knowledge and promote news diet quality?
  • How can researchers use survey and digital trace data to measure concepts related to digital media and politics?

I’m also a founding co-editor of the Journal of Quantitative Description: Digital Media, with Kevin Munger and Eszter Hargittai. You can read our essay introducing the journal’s philosophy and goals here.

Recent Publications

Analysis of Web Browsing Data: A Guide

The use of individual-level browsing data, i.e., the records of a person’s visits to online content through a desktop or mobile …

Like-minded sources on Facebook are prevalent but not polarizing

Many critics raise concerns about the prevalence of ‘echo chambers’ on social media and their potential role in increasing political …

Asymmetric ideological segregation in exposure to political news on Facebook

Does Facebook enable ideological segregation in political news consumption? We analyzed exposure to news during the US 2020 election …

Reshares on social media amplify political news but do not detectably affect beliefs or opinions

We studied the effects of exposure to reshared content on Facebook during the 2020 US election by assigning a random set of consenting, …


  • aguess [at]