Papers

Working Papers

Park, J. S., Zou, C. Q., Kamphorst, J., Egan, N., Shaw, A., Hill, B. M., Cai, C., Morris, M. R., Liang, P., Willer, R., & Bernstein, M. S. LLM Agents Grounded in Self-Reports Enable General-Purpose Simulation of Individuals.

Policy Brief: Simulating Humans, Thread: Generative Agents
Media Coverage: ScienceDirect (11/24)

Mernyk, J. S., Kamphorst, J. B., Sivakumar, K., Bonica, A., Willer, R. A Nonpartisan Source-Grounded AI Voter Guide is Perceived as Trustworthy and Affects Voting Intentions.

Ibrahim, L., Hafner, F. S., Cheng, M., Lee, C., Anselmetti, R., Willer, R., Rocher, L., & Yang, D. Sycophantic AI Makes Human Interaction Feel More Effortful and Less Satisfying Over Time.

X Thread (05/2026)

Schöne , J. P., Salecha, A., Lyubomirsky, S., Eichstaedt, J., & Willer, R. Structured AI Dialogues Can Increase Happiness and Meaning in Life.

Costello, T.H., Pennycook, G., Willer, R., & Rand, D. Deep Canvassing Using AI Reduces Prejudice Toward Undocumented Immigrants.

Jackson, M. O., Mei, Q., Wang, S., Xie, Y., Yuan, W., Benzell, S. G., Brynjolfsson, E., Camerer, C. F., Evans, J. A., Jabarian, B., Kleinberg, J., Meng, J., Mullainathan, S., Ozdaglar, A. E., Pfeiffer, T., Tennenholtz, M., Willer, R., Yang, D., & Ye, T. AI Behavioral Science.

2026 / In Press

Hewitt, L.*, Ashokkumar, A*., Ghezae, I., & Willer, R. 2026. Large Language Models Can Predict the Results of Social Science Experiments. Nature.

Supplementary Materials.
Thread: LLM Predictions, Talk at Stanford Tech Impact and Policy Center, Talk at HAI (09/2023)
Media Coverage: HAI (07/25)

Gallegos, I. O., Shani, C., Shi, W., Bianchi, F., Gainsburg, I., Jurafsky, D., & Willer, R. 2026. Labeling Messages as AI-Generated Does Not Reduce Their Persuasive Effects. PNAS Nexus.

Policy Brief: AI Labeling, Thread: Labeling AI Content

Willer, R. 2026. Every Social Science Should Improve Replicability. Nature.

Feuerriegel, S., Christopher Barrie, M. J. Crockett… [72 authors] … Robb Willer, Dirk U. Wulff, Renwen Zhang, Simone Zhang, Steve Rathje, Manoel Horta Ribeiro. 2026. A Reporting Checklist for Large Language Models in Behavioural Science. Nature Human Behaviour.

2025

Bai, H., Voelkel, J. G., Muldowney, S., Eichstaedt, J. C., & Willer, R. 2025. LLM-Generated Messages Can Persuade Humans on Policy Issues. Nature Communications.

Press Release: AI Persuasion, Thread: LLMs & Changing Attitudes
Media Coverage: Stanford Report (12/25)

2024

Stade, E. C., Stirman, S. W., Ungar, L. H., Boland, C. L., Schwartz, H. A., Yaden, D. B., Sedoc, J., DeRubeis, R. J., Willer, R. & Eichstaedt, J. C. 2024. Large Language Models Could Change the Future of Behavioral Healthcare: A Proposal for Responsible Development and Evaluation. NPJ Mental Health Research.