Publikationen von Nils Köbis

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

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

Köbis, N., Dorrough, A., Irlenbusch, B., Shalvi, S., & Gloeckner, A. (2022). Bribery across nations. Research Square, 25 May 2022. https://doi.org/10.21203/rs.3.rs-1690288/v1

Lange, J., Köbis, N., & Herrmann, C. (2022). A systematic literature review and integrative framework on the link between emotions and corruption. OSF Preprints, 15 June 2022. https://doi.org/10.31219/osf.io/8uzkf

Köbis, N., Starke, C., & Rahwan, I. (2021). Artificial intelligence as an anti-corruption tool (AI-ACT): Potentials and pitfalls for top-down and bottom-up approaches. arXiv, 2102.11567.