Jacob, M. S., Lelkes, Y., Wolken, S., & Westwood, S. J. (2026). Systemic electioneering from the evangelical pulpit: Evidence from a computational analysis. Proceedings of the National Academy of Sciences, 123(21), e2603911123.
Gong, L., Hopkins, D. J., & Wolken, S. (2026). The Limits of De-Politicizing–and Also of Annotation: A Case Study in Russian Media Outlets' Social Media Posts, 2016–2024. Proceedings of the International AAAI Conference on Web and Social Media, 20(1), 889–909.
Hosseinmardi, H., Wolken, S., Rothschild, D. M., & Watts, D. J. (2025). Unpacking media bias in the growing divide between cable and network news. Scientific Reports, 15, 17607.
Nicholas Pangakis and Samuel Wolken (2024). Keeping Humans in the Loop: Human-Centered Automated Annotation with Generative AI. Proceedings of the International AAAI Conference on Web and Social Media.
Hopkins, D. J., Lelkes, Y., & Wolken, S. (2024). The rise of and demand for identity‐oriented media coverage. American Journal of Political Science.
Nicholas Pangakis and Samuel Wolken. 2024. Knowledge Distillation in Automated Annotation: Supervised Text Classification with LLM-Generated Training Labels. In Proceedings of the Sixth Workshop on Natural Language Processing and Computational Social Science (NLP+CSS 2024), pages 113–131, Mexico City, Mexico. Association for Computational Linguistics.
With Daniel J. Hopkins and Yphtach Lelkes.
Talk at Political and Information Networks Workshop, Philadelphia, PA
Talk at Department of Political Science, University of Massachusetts Amherst, seminar on Causal Inference, Amherst, MA (via Zoom)