Publications

We study how AI systems shape communication, judgment, and trust, using controlled experiments, audits, and user studies with more than 20,000 participants to date. Our work has appeared in venues such as PNAS, Science Advances, CHI, CSCW, and FAccT, and is cited in policy reports including the UK government’s International AI Safety Report and the UNDP Human Development Report. Below is our full list of publications; see also our profile on Google Scholar.

Reactive Writers: How Co-Writing with AI Changes How We Engage with Ideas
Bhat, A., Aubin Le Quéré, M., Naaman, M., & Jakesch, M. · ACM CHI (2026) PDF
Effects of Personality- and Opinion-Alignment in Human-AI Interaction
Eder, M., Lechner, C., & Jakesch, M. · ACM FAccT (2026) PDF · Preregistration
Biased AI writing assistants shift users’ attitudes on societal issues
Williams-Ceci, S., Jakesch, M., Bhat, A., Kadoma, K., Zalmanson, L., & Naaman, M. · Science Advances (2026) PDF · Materials
Writing with AI boosts trust-building efficiency
Purcell, Z. A., Jakesch, M., Dong, M., Nussberger, A. M., & Köbis, N. · iScience, 28(12) (2025) PDF · Materials · Preregistration
People have different expectations for their own versus others' use of AI-mediated communication tools
Purcell, Z. A., Dong, M., Nussberger, A. M., Köbis, N., & Jakesch, M. · British Journal of Psychology (2024) Materials · Preregistration
AHA!: Facilitating AI Impact Assessment by Generating Examples of Harms
Buçinca, Z., Pham, C. M., Jakesch, M., Ribeiro, M. T., Olteanu, A., & Amershi, S. · arXiv (2024) PDF
Human Heuristics for AI-Generated Language Are Flawed
Jakesch, M., Hancock, J. T., & Naaman, M. · PNAS 120.11 (2023) PDF · Materials · Preregistration
Effects of Algorithmic Trend Promotion: Evidence from Coordinated Campaigns in Twitter's Trending Topics
Schlessing, J., Garimella, K., Jakesch, M., & Eckles, D. · AAAI ICWSM (2023) PDF
Comparing Sentence-Level Suggestions to Message-Level Suggestions in AI-Mediated Communication
Fu, L., Newman, B., Jakesch, M., & Kreps, S. · ACM CHI (2023) PDF
Co-Writing with Opinionated Language Models Affects Users' Views
Jakesch, M., Bhat, A., Buschek, D., Zalmanson, L., & Naaman, M. · ACM CHI (2023) PDF
Can AI communication tools increase legislative responsiveness and trust in democratic institutions?
Kreps, S., & Jakesch, M. · Government Information Quarterly 40.3: 101829 (2023)
AI Writing Assistants Influence Topic Choice in Self-Presentation
Poddar, R., Sinha, R., Naaman, M., & Jakesch, M. · CHI Extended Abstracts (2023) PDF
How Different Groups Prioritize Ethical Values for Responsible A.I.
Jakesch, M., Buçinca, Z., Amershi, S., & Olteanu, A. · ACM FAccT (2022) PDF
Trend Alert: A Cross-Platform Organization Manipulated Twitter Trends in the Indian General Election
Jakesch, M., Garimella, K., Eckles, D., & Naaman, M. · ACM CSCW (2021) PDF
How Partisan Crowds Affect News Evaluation
Jakesch, M., Koren, M., & Naaman, M. · ACM TTO (2020) PDF · Materials
The Role of Source, Headline, and Expressive Responding in Political News Evaluation
Jakesch, M., Koren, M., Evtushenko, A., & Naaman, M. · Computation + Journalism Symposium (2019) PDF · Materials
AI-Mediated Communication: The Perception That Profile Text Was Written by A.I. Affects Trustworthiness
Jakesch, M., French, M., Ma, X., Hancock, J., & Naaman, M. · ACM CHI (2019) PDF · Materials