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I am a Research Associate at GESIS – Leibniz Institute for the Social Sciences in Cologne. Previously, I was a postdoctoral researcher and lecturer at the Amsterdam School of Communcation Research (ASCoR) and gained my PhD from the European University Institute, visiting the Data Science Lab of Hertie School in Berlin and the psychology department of New York University. Before that I studied at the University of Oxford, the University of Bayreuth and the Université Paris I Panthéon-Sorbonne. I also spent some years working at the tech startup Opinary and as a freelance journalist, e.g. writing for the Economist.
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I am Data Editor at Political Communication and co-chair of the Political Communcation track of the General Online Research conference.
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For my research in computational social science with a focus on mis/disinformation, trust, polarization and negative campaigning, I use experimental methods, surveys, digital traces and social media data. My research has been published in journals such as the Proceedings of the National Academy of Sciences (PNAS), Political Communcation and the Journal of Experimental Political Science.
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Clemm von Hohenberg, Bernhard, Sebastian Stier, Ana S. Cardenal, Andrew M. Guess, Ericka Menchen-Trevino, and Magdalena Wojcieszak. 2024. "Analysis of Web Browsing Data: A Guide." Social Science Computer Review. doi:

Heseltine, Michael, and Bernhard Clemm von Hohenberg. 2024. "Large language models as a substitute for human experts in annotating political text.." Research & Politics (11, 1).

Wojcieszak, Magdalena, Ericka Menchen-Trevino, Bernhard Clemm von Hohenberg, Sjifra de Leeuw, João Gonçalves, Sam Davidson, and Alexandre Gonçalves. 2023. "Non-news websites expose people to more political content than news websites: Evidence from browsing data in three countries." Political Communication online first. doi:

Clemm von Hohenberg, Bernhard. 2023. "Truth and Bias, Left and Right: Testing ideological asymmetries with a realistic news supply." Public Opinion Quarterly 87 (2): 267–292. doi:

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Arbeits- und Diskussionspapier

Clemm von Hohenberg, Bernhard, and Michael Heseltine. 2023. Large language models as a substitute for human experts in annotating political text.