Publikationen von Nils Köbis

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., Lorenz-Spreen, P., Ajaj, T., Bonnefon, J.-F., Hertwig, R., & Rahwan, I. (2023). Artificial intelligence can facilitate selfish decisions by altering the appearance of interaction partners. arXiv, 2306.04484 . https://doi.org/10.48550/arXiv.2306.04484

Purcell, Z. A., Dong, M., Nussberger, A.-M., Köbis, N., & Jakesch, M. (2023). Fears about AI-mediated communication are grounded in different expectations for one’s own versus others’ use. arXiv, 2305.01670 .

Starke, C., Kieslich, K., Reichert, M., & Köbis, N. (2023). Algorithms against corruption: A conjoint study on designing automated twitter posts to encourage collective action. SocArXiv, January 13, 2023. https://doi.org/10.31235/osf.io/wf45t

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

Köbis, N., Oded, S., de Bruijn, A. L., Huang, S., & van Rooij, B. (2022). Is less more? Field evidence on the impact of anti-bribery policies on employee knowledge and corrupt behavior. SSRN eLibrary, October 21, 2022. https://doi.org/10.2139/ssrn.4255148

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

von Schenk, A., Klockmann, V., Bonnefon, J.-F., Rahwan, I., & Köbis, N. (2022). Lie detection algorithms attract few users but vastly increase accusation rates. arXiv, December 8, 2022. https://doi.org/10.48550/arXiv.2212.04277