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 version! “Exposure to untrustworthy websites in the 2016 U.S. election” (with Brendan Nyhan and Jason Reifler)

Though commentators frequently warn about “echo chambers,” little is known about the volume or slant of political misinformation people consume online, the effects of social media and fact-checking on exposure, or its effects on behavior. We evaluate these questions for the websites publishing factually dubious content often described as “fake news.” Survey and web traffic data from the 2016 U.S. presidential campaign show that Trump supporters were most likely to visit these websites, which often spread via Facebook. However, these sites made up a small share of people’s information diets on average and were largely consumed by a subset of Americans with strong preferences for pro-attitudinal information. These results suggest that widespread speculation about the prevalence of exposure to untrustworthy websites has been overstated.