Publications

Baumann, F., Arora, N., Rahwan, I., & Czaplicka, A. (2026). Dynamics of algorithmic content amplification on TikTok. EPJ Data Science, 15, Article 18. https://doi.org/10.1140/epjds/s13688-026-00629-2

Brinkmann, L., Eisenmann, T. F., Nussberger, A.-M., Derex, M., Bonati, S., Chirkov, V., & Rahwan, I. (in press). Experimental evidence for the propagation and preservation of machine discoveries in human populations. Nature Communications.

Dong, M., Conway, J. R., Bonnefon, J.-F., Shariff, A., & Rahwan, I. (2026). Fears about artificial intelligence across 20 countries and six domains of application. American Psychologist, 81(1), 53–67. https://doi.org/10.1037/amp0001454

Johnson, S. G. B., Karimi, A.-H., Bengio, Y., Chater, N., Gerstenberg, T., Larson, K., Levine, S., Mitchell, M., Rahwan, I., Schölkopf, B., & Grossmann, I. (2026). Imagining and building wise machines: The centrality of AI metacognition. Trends in Cognitive Sciences. Advance online publication. https://doi.org/10.1016/j.tics.2026.01.002

Kappes, A., Cohn, A., Maréchal, M. A., Nussberger, A.-M., Savulescu, J., Cowen, P., Browning, M., & Crockett, M. J. (2026). Beyond attention: Methylphenidate reduces dishonesty in healthy adults. Psychopharmacology. Advance online publication. https://doi.org/10.1007/s00213-026-07059-y

Onderstal, S., Shalvi, S., & Soraperra, I. (2026). Competition modulates buyers' reaction to sellers' cheap talk. Journal of Economic Behavior & Organization, 242, Article 107403. https://doi.org/10.1016/j.jebo.2025.107403

Purcell, Z. A., Dong, M., Nussberger, A.-M., Köbis, N., & Jakesch, M. (2026). People have different expectations for their own versus others' use of AI-mediated communication tools. British Journal of Psychology, 117(2), 548–566. https://doi.org/10.1111/bjop.12727

Schimmelpfennig, R., Efferson, C., & Bastardoz, N. (2026). Credible leadership signals. The Leadership Quarterly, 37(2), Article 101941. https://doi.org/10.1016/j.leaqua.2025.101941

Abels, C. M., Lopez-Lopez, E., Burton, J. W., Holford, D. L., Brinkmann, L., Herzog, S. M., & Lewandowsky, S. (2025). The governance & behavioral challenges of generative artificial intelligence’s hypercustomization capabilities. Behavioral Science & Policy, 11(1), 22–32. https://doi.org/10.1177/23794607251347020

Arakawa, R., Maeda, K., & Yakura, H. (2025). ConverSearch: Supporting experts in human behavior analysis of conversational videos with a multimodal scene search tool. ACM Transactions on Interactive Intelligent Systems, 15(1), Article 6. https://doi.org/10.1145/3709012

Arakawa, R., Nakagawa, M., & Yakura, H. (2025). UbiLearn: Supporting English-as-a-foreign-language learners in reflecting on conversations using a smartwatch. Proceedings of the ACM on Human-Computer Interaction, 9(5), Article MHCI033. https://doi.org/10.1145/3743735

Awad, E. (2025). Digital pathways beyond Western‑centric participants. Behavior Research Methods, 57, Article 229. https://doi.org/10.3758/s13428-025-02751-x

Baños-Ramos, A., Reneses, M., Pérez, J., Valverde, G., Awad, E., López López, G., & Castro, M. (2025). Enhancing social science research on cyberbullying through human machine collaboration. Scientific Reports, 15, Article 32954. https://doi.org/10.1038/s41598-025-16149-4

Bortolotti, S., Soraperra, I., Sutter, M., & Zoller, C. (2025). Too lucky to be true: Fairness views under the shadow of cheating. The Review of Economics and Statistics, 107(3), 771–785. https://doi.org/10.1162/rest_a_01394

Brinkmann, L., Cebrian, M., & Pescetelli, N. (2025). Adversarial dynamics in centralized versus decentralized intelligent systems. Topics in Cognitive Science, 17(2), 374–391. https://doi.org/10.1111/tops.12705

Caliari, D., & Soraperra, I. (2025). Dishonesty: The role of planning, temptation, and self-control. Journal of Economic Behavior & Organization, 240, Article 107323. https://doi.org/10.1016/j.jebo.2025.107323

Chraish, M., Oyama, C., Aoki, Y., Andrew, D., Nishio, M., Shi, S., & Yakura, H. (2025). Bridging the gap between community health workers’ digital health acceptance and actual usage in Uganda: Exploring key external factors based on technology acceptance model. PLoS Digital Health, 4(11), Article e0001099. https://doi.org/10.1371/journal.pdig.0001099

Czaplicka, A., Baumann, F., & Rahwan, I. (2025). Mutual benefits of social learning and algorithmic mediation for cumulative culture. Journal of the Royal Society Interface, 22(225), Article 20240686. https://doi.org/10.1098/rsif.2024.0686

Dong, M., Bonnefon, J.-F., & Rahwan, I. (2025). Heterogeneous preferences and asymmetric insights for AI use among welfare claimants and non-claimants. Nature Communications, 16, Article 6973. https://doi.org/10.1038/s41467-025-62440-3

Hillenbrand, A., Werner, T., & Winter, F. (2025). Willingness to volunteer among remote workers is insensitive to the team size. Experimental Economics, 28(3), 492–512. https://doi.org/10.1017/eec.2024.13