The work shown on this page was financed by the National Science Centre, Poland. The project is titled “Botonomics: the influence of intelligent machines on economic behavior” (grant number: 2021/42/E/HS4/00289).
Niszczota, P., & Grützner, C. (2026). Antisocial behavior towards large language model users: Experimental evidence (No. arXiv:2601.09772). arXiv. https://doi.org/10.48550/arXiv.2601.09772
Niszczota, P., Grzegorczyk, T., & Pastukhov, A. (2025). People Are Highly Cooperative with Large Language Models, Especially When Communication Is Possible or Following Human Interaction (arXiv:2507.18639). arXiv. https://doi.org/10.48550/arXiv.2507.18639
Niszczota, P., & Antoniou, E. (2026). Do people apply different norms to humans and large language models acting on their behalf? Evidence from norm elicitations in two canonical economic games. Journal of Experimental Social Psychology, 127, 104991. https://doi.org/10.1016/j.jesp.2026.104991
Niszczota, P., Janczak, M., & Misiak, M. (2025). Large language models can replicate cross-cultural differences in personality. Journal of Research in Personality, 115, 104584. https://doi.org/10.1016/j.jrp.2025.104584
Niszczota, P., & Abbas, S. (2023). GPT has become financially literate: Insights from financial literacy tests of GPT and a preliminary test of how people use it as a source of advice. Finance Research Letters, 58, 104333. https://doi.org/10.1016/j.frl.2023.104333
Niszczota, P., & Conway, P. (2023). Judgements of research co-created by Generative AI: Experimental evidence. Economics and Business Review, 9(2). https://doi.org/10.18559/ebr.2023.2.744
Niszczota, P., & Rybicka, I. (2023). The credibility of dietary advice formulated by ChatGPT: Robo-diets for people with food allergies. Nutrition, 112, 112076. https://doi.org/10.1016/j.nut.2023.112076