Publikationen von Nils Köbis

Sorokowski, P., Kowal, M., Sternberg, R. J., Aavik, T., Akello, G., Alhabahba, M. M., Alm, C., Amjad, N., Anjum, A., Asao, K., Atama, C. S., Duyar, D. A., Ayebare, R., Conroy‑Beam, D., Bendixen, M., Bensafia, A., Bizumic, B., Boussena, M., Buss, D. M., Butovskaya, M., Can, S., Carrier, A., Cetinkaya, H., Croy, I., Cueto, R. M., Czub, M., Dronova, D., Dural, S., Duyar, I., Ertugrul, B., Espinosa, A., Estevan, I., Esteves, C. S., Frackowiak, T., Garduño, J. C., González, K. U., Guemaz, F., Halamová, M., Herak, I., Horvat, M., Hromatko, I., Hui, C. M., Jaafar, J. L., Jiang, F., Kafetsios, K., Kavčič, T., Kennair, L. E. O., Kervyn, N., Ha, T. T. K., Khilji, I. A., Köbis, N., Kostic, A., Lan, H. M., Láng, A., Lennard, G. R., León, E., Lindholm, T., Linh, T. T., Lopez, G., Luot, N. V., Mailhos, A., Manesi, Z., Martinez, R., McKerchar, S. L., Meskó, N., Pejičić, M., Misra, G., Monaghan, C., Mora, E. C., & Moya‑Garófano, A. (2023). Modernization, collectivism, and gender equality predict love experiences in 45 countries. Scientific Reports, 13, Article 773. https://doi.org/10.1038/s41598-022-26663-4

Köbis, N., Starke, C., & Rahwan, I. (2022). The promise and perils of using artificial intelligence to fight corruption. Nature Machine Intelligence, 4, 418–424. https://doi.org/10.1038/s42256-022-00489-1

Köbis, N., Bonnefon, J.-F., & Rahwan, I. (2021). Bad machines corrupt good morals. Nature Human Behaviour, 5(6), 679–685. https://doi.org/10.1038/s41562-021-01128-2

Köbis, N. C., Doležalová, B., & Soraperra, I. (2021). Fooled twice: People cannot detect deepfakes but think they can. iScience, 24(11), Article 103364. https://doi.org/10.1016/j.isci.2021.103364

Köbis, N., & Mossink, L. D. (2021). Artificial intelligence versus Maya Angelou: Experimental evidence that people cannot differentiate AI-generated from human-written poetry. Computers in Human Behavior, 114, Article 106553. https://doi.org/10.1016/j.chb.2020.106553

Laakasuo, M., Palomäki, J., & Köbis, N. (2021). Moral uncanny valley: A robot’s appearance moderates how its decisions are judged. International Journal of Social Robotics, 13, 1679–1688. https://doi.org/10.1007/s12369-020-00738-6

Leib, M., Köbis, N., Soraperra, I., Weisel, O., & Shalvi, S. (2021). Collaborative dishonesty: A meta-analytic review. Psychological Bulletin, 147(12), 1241–1268. https://doi.org/10.1037/bul0000349

Sorokowska, A., Saluja, S., Sorokowski, P., Frąckowiak, T., Karwowski, M., Aavik, T., Akello, G., Alm, C., Amjad, N., Anjum, A., Asao, K., Atama, C. S., Duyar, D. A., Ayebare, R., Batres, C., Bendixen, M., Bensafia, A., Bizumic, B., Boussena, M., Buss, D. M., Butovskaya, M., Can, S., Cantarero, K., Carrier, A., Cetinkaya, H., Chabin, D., Conroy-Beam, D., Contreras-Graduño, J., Varella, M. A. C., Cueto, R. M., Czub, M., Dronova, D., Dural, S., Duyar, I., Ertugrul, B., Espinosa, A., Esteves, C. S., Guemaz, F., Hal'amová, M., Herak, I., Hromatko, I., Hui, C.-M., Jaafar, J. L., Jiang, F., Kafetsios, K., Kavcic, T., Kennair, L. E. O., Kervyn, N. O., Khilji, I. A., Köbis, N. C., Kostic, A., Láng, A., Lennard, G. R., León, E., Lindholm, T., Lopez, G., Manesi, Z., Martinez, R., McKerchar, S. L., Meskó, N., Misra, G., Monaghan, C., Mora, E. C., Moya-Garofano, A., Musil, B., Natividade, J. C., Nizharadze, G., Oberzaucher, E., Oleszkiewicz, A., Onyishi, I. E., Özener, B., Pagani, A. F., Pakalniskiene, V., Parise, M., Pazhoohi, F., Pejičić, M., Pisanski, A., Pisanski, K., Plohl, N., Popa, C., Prokop, P., Rizwan, M., Sainz, M., Salkičević, S., Sargautyte, R., Sarmany-Schuller, I., Schmehl, S., Shahid, A., Shaikh, R., Sharad, S., Siddiqui, R. S., Simonetti, F., Tadinac, M., González, K. U., Uhryn, O., Vauclair, C.-M., Araya, L. D. V., Widarini, D. A., Yoo, G., Zadeh, Z. F., Zat'ková, M., Zupančič, M., & Croy, I. (2021). Affective interpersonal touch in close relationships: A cross-cultural perspective. Personality and Social Psychology Bulletin, 47(12), 1705–1721. https://doi.org/10.1177/0146167220988373

Forjan, J., Köbis, N., & Starke, C. (2024). Artificial intelligence as a weapon to fight corruption: Civil society actors on the benefits and risks of existing bottom-up approaches. In A. Mattoni (Ed.), Digital media and grassroots anti-corruption: Contexts, platforms and data of anti-corruption technologies worldwide (pp. 229–249). Edward Elgar Publishing. https://doi.org/10.4337/9781802202106.00020

Köbis, N., Bonnefon, J.-F., & Rahwan, I. (2021). Bad machines corrupt good morals (TSE Working Papers No. 1212). Toulouse School of Economics.