I am an assistant professor of politics and public affairs at Princeton University.

My research sits at the intersection of political communication, public opinion, and political behavior. I use a combination of experimental methods, large datasets, machine learning, and innovative measurement to study how people choose, process, spread, and respond to information about politics.

Current or recent projects investigate online selective exposure, how to accurately measure media exposure on the internet, the dynamics of interest group mobilization over Twitter, and the persuasive effect of new information on individuals’ attitudes and beliefs. See the Research page for more on these and other projects.

Please find me on Google Scholar, ORCID, Dataverse, Github, and, of course, Twitter.

New! “Selective Exposure to Misinformation: Evidence from the consumption of fake news during the 2016 U.S. presidential campaign” (with Brendan Nyhan and Jason Reifler)

Though some warnings about online “echo chambers” have been hyperbolic, tendencies toward selective exposure to politically congenial content are likely to extend to misinformation and to be exacerbated by social media platforms. We test this prediction using data on the factually dubious articles known as “fake news.” Using unique data combining survey responses with individual-level web traffic histories, we estimate that approximately 1 in 4 Americans visited a fake news website from October 7-November 14, 2016. Trump supporters visited the most fake news websites, which were overwhelmingly pro-Trump. However, fake news consumption was heavily concentrated among a small group — almost 6 in 10 visits to fake news websites came from the 10% of people with the most conservative online information diets. We also find that Facebook was a key vector of exposure to fake news and that fact-checks of fake news almost never reached its consumers.