Publikationen von Manuel Cebrian

Groh, M., Epstein, Z., Obradovich, N., Cebrian, M., & Rahwan, I. (2021). Human detection of machine-manipulated media. Communications of the ACM, 64(10), 40–47. https://doi.org/10.1145/3445972

Hong, I., Rutherford, A., & Cebrian, M. (2021). Social mobilization and polarization can create volatility in COVID‑19 pandemic control. Applied Network Science, 6, Article 11. https://doi.org/10.1007/s41109-021-00356-9

Moro, E., Frank, M. R., Pentland, A., Rutherford, A., Cebrian, M., & Rahwan, I. (2021). Universal resilience patterns in labor markets. Nature Communications, 12, Article 1972. https://doi.org/10.1038/s41467-021-22086-3

Saveski, M., Awad, E., Rahwan, I., & Cebrian, M. (2021). Algorithmic and human prediction of success in human collaboration from visual features. Scientific Reports, 11, Article 2756. https://doi.org/10.1038/s41598-021-81145-3

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

Roy, K. C., Hasan, S., Sadri, A. M., & Cebrian, M. (2020). Understanding the efficiency of social media based crisis communication during hurricane Sandy. International Journal of Information Management, 52, Article 102060. https://doi.org/10.1016/j.ijinfomgt.2019.102060

Sadri, A. M., Hasan, S., Ukkusuri, S. V., & Cebrian, M. (2020). Exploring network properties of social media interactions and activities during Hurricane Sandy. Transportation Research Interdisciplinary Perspectives, 6, Article 100143. https://doi.org/10.1016/j.trip.2020.100143

Roy, K. C., Cebrian, M., & Hasan, S. (2019). Quantifying human mobility resilience to extreme events using geo-located social media data. EPJ Data Science, 8, Article 18. https://doi.org/10.1140/epjds/s13688-019-0196-6

Xu, W., Chen, H., Frias-Martinez, E., Cebrian, M., & Li, X. (2019). The inverted U-shaped effect of urban hotspots spatial compactness on urban economic growth. Royal Society Open Science, 6(11), Article 181640. https://doi.org/10.1098/rsos.181640

Serna, I., Morales, A., Fierrez, J., Cebrian, M., Obradovich, N., & Rahwan, I. (2020). Algorithmic discrimination: Formulation and exploration in deep learning-based face biometrics. In H. Espinoza, J. Hernández-Orallo, X. C. Chen, S. S. ÓhÉigeartaigh, X. Huang, M. Castillo-Effen, R. Mallah, & J. McDermid (Eds.), H. Espinoza, J. Hernández-Orallo, X. C. Chen, S. S. ÓhÉigeartaigh, X. Huang, M. Castillo-Effen, R. Mallah, & J. McDermid (Eds.), Proceedings of the Workshop on Artificial Intelligence Safety (SafeAI 2020): Co-located with 34th AAAI Conference on Artificial Intelligence (AAAI 2020). New York, USA, Feb 7, 2020 (pp. 146–152). RWTH.