Publikationen von N. Pescetelli

Brinkmann, L., Gezerli, D., Kleist, K. V., Müller, T. F., Rahwan, I., & Pescetelli, N. (2022). Hybrid social learning in human-algorithm cultural transmission. Philosophical Transactions of the Royal Society of London: A, Mathematical, Physical and Engineering Sciences, 380(2227), Article 20200426. https://doi.org/10.1098/rsta.2020.0426

Pescetelli, N., Barkoczi, D., & Cebrian, M. (2022). Bots influence opinion dynamics without direct human-bot interaction: The mediating role of recommender systems. Applied Network Science, 7, Article 46. https://doi.org/10.1007/s41109-022-00488-6

Pescetelli, N., Rutherford, A., & Rahwan, I. (2021). Modularity and composite diversity affect the collective gathering of information online. Nature Communications, 12, Article 3195. https://doi.org/10.1038/s41467-021-23424-1

Pescetelli, N., Cebrian, M., & Rahwan, I. (2020). BeeMe: Real-time internet control of situated human agents. Computer, 53(8), 49–58. https://doi.org/10.1109/MC.2020.2996824

Pescetelli, N., Cebrian, M., & Rahwan, I. (2020). Real-time internet control of situated human agents. PsyArXiv, February 10, 2020. https://doi.org/10.31234/osf.io/xn7sr

Pescetelli, N., Rutherford, A., & Rahwan, I. (2020). Multi-trait diversity of online groups improves geo-political forecasting accuracy as a function of group size. PsyArXiv, January 2, 2020. https://doi.org/10.31234/osf.io/b8q2c

Epstein, Z., Epstein, M., Almenar, C., Groh, M., Pescetelli, N., Moro, E., Obradovich, N., Cebrian, M., & Rahwan, I. (2019). Towards a new social laboratory: An experimental study of search through community participation at Burning Man. arXiv, 1903.04125.