Publications

Cecilia Y. Sui, Soyeon Jeon, Christopher Lucas, Jacob M. Montgomery, Margit Tavits (2026). One Language is Enough: Using Transfer Learning to Detect Populist Rhetoric Across 25 Languages Without Translation. Working Paper.

Raduan van Velthem Meira, Jacob M. Montgomery, Taishi Muraoka (2026). Nested Incentives to Campaign Online: Institutional, National, Party, and Individual Determinants of Candidate Facebook Use Across Democracies. Working Paper.

Haofei Xu, Umar Iqbal, Jacob M. Montgomery (2026). Measuring Google AI Overviews: Activation, Source Quality, Claim Fidelity, and Publisher Impact. Proceedings of the 2026 ACM Internet Measurement Conference (IMC), 529-546.

Yehu Chen, Jacob M. Montgomery, Roman Garnett (2026). A Dynamic, Ordinal Gaussian Process Item Response Theoretic Model. Working Paper.

Ju Yeon Park, Jacob M. Montgomery (2025). Towards a Framework for Creating Trustworthy Measures with Supervised Machine Learning. Political Science Research and Methods.

Benjamin Lyons, Jacob M. Montgomery, Jason Reifler (2024). Partisanship and Older Americans' Engagement with Dubious Political News. Public Opinion Quarterly, 88(3), 962-990.

Messi H.J. Lee, Jacob M. Montgomery, Calvin K. Lai (2024). Large Language Models Portray Socially Subordinate Groups as More Homogeneous, Consistent with a Bias Observed in Humans. ACM Conference on Fairness, Accountability, and Transparency (FAccT).

Yehu Chen, Muchen Xi, Jacob M. Montgomery, Joshua Jackson, Roman Garnett (2024). Idiographic Personality Gaussian Process for Psychological Assessment. Advances in Neural Information Processing Systems (NeurIPS).

Messi H.J. Lee, Jacob M. Montgomery, Calvin Lai (2024). America's Racial Framework of Superiority and Americanness Embedded in Natural Language. PNAS Nexus, 3(1), pgad485.

Nicolas Berlinski, Margaret Doyle, Andrew M. Guess, Gabrielle Levy, Benjamin Lyons, Jacob M. Montgomery, Brendan Nyhan, Jason Reifler (2023). The Effects of Unsubstantiated Claims of Voter Fraud on Confidence in Elections. Journal of Experimental Political Science, 10(1), 34-49.