I am an Associate Professor of Political Science at the University of Copenhagen and Center for Social Data Science. I am also a faculty research affiliate at the Center for Social Media and Politics at NYU, where I was a post-doctoral researcher. I research political behavior, social media, and quantitative methods.

Research

Gendered Perceptions and the Costs of Political Toxicity: Experimental Evidence from Politicians and Citizens in Four Democracies
American Political Science Review. Forthcoming.
(with Anne Rasmussen)

News Sharing on Social Media: Mapping the Ideology of News Media, Politicians, and the Mass Public
Political Analysis. 2025, 33 (2).
(with Richard Bonneau, Joshua Tucker & Jonathan Nagler)
Software: Statistical software and instructions
Data: Ideology of news media (e.g. nytimes.com, foxnews.com)
Data: Ideology of politicians (116th Congress)

The Unequal Effects of the COVID-19 Pandemic on Political Interest Representation
Political Behavior. 2024, 46 (1).
(with Anne Rasmussen)

Do Violent Protests Affect Expressions of Party Identity? Evidence from the Capitol Insurrection
American Political Science Review. 2023, 117 (3).
(with Frederik Hjorth & Peter Thisted Dinesen)

Exposure to the Russian Internet Research Agency Foreign Influence Campaign on Twitter in the 2016 US Election and its Relationship to Attitudes and Voting Behavior
Nature Communications. 2023, 14 (62).
(with Tom Paskhalis, Jan Zilinsky, Richard Bonneau, Jonathan Nagler & Joshua Tucker)

Does International Terrorism affect Public Attitudes toward Refugees? Evidence from a Large-scale Natural Experiment
Journal of Politics. 2022, 84 (1).
(with Charles Breton)

Measuring Uncertainty about Candidate Ideology: An Application to US Presidential Elections
Journal of Politics. 2021, 83 (2).
(with Peter Loewen)

Cross-Platform State Propaganda: Russian Trolls on Twitter and YouTube during the 2016 US Presidential Election
International Journal of Press/Politics. 2020, 25 (3).
(with Yevgeniy Golovchenko, Cody Buntain, Megan Brown & Joshua Tucker)

Presidential Greatness in a Polarized Era: Results from the Latest Presidential Greatness Survey
PS: Political Science & Politics. 2020, 53 (3).
(with Brandon Rottinghaus & Justin S. Vaughn)

How Many People Live in Political Bubbles on Social Media? Evidence from Linked Survey and Twitter Data.
SAGE Open. 2019, 9 (1).
(with Jonathan Nagler, Andrew Guess, Joshua Tucker & Jan Zilinsky)

Statistical Analysis of Misreporting on Sensitive Survey Questions.
Political Analysis. 2017, 25 (2).
Software: Statistical software and instructions

Statistical software

mediascores: News-sharing Ideology from Social Media Link Data
This statistical software uses data from the links shared by social media users to news media stories to jointly estimate the ideology of those users and the media organizations they share links to (e.g. nytimes.com, foxnews.com). It accompanies the article "News Sharing on Social Media: Mapping the Ideology of News Media, Politicians, and the Mass Public" (Politician Analysis, 2025).
Software: Statistical software and instructions
Data: Ideological of news media (e.g. nytimes.com, foxnews.com)
Data: Ideology of politicians (116th Congress)

misreport: Statistical Analysis of Misreporting on Sensitive Survey Questions
This statistical software allows researchers to investigate who misreports sensitive attitudes (e.g. racist or sexist beliefs) or behaviors by jointly modeling survey responses to a list experiment and direct question about that attitude or behavior. It accompanies the article "Statistical Analysis of Misreporting on Sensitive Survey Questions" (Political Analysis, 2017).
Software: Statistical software and instructions