Homa Hosseinmardi
Biography
I am a computational social scientist with a computer science background examining fundamental questions varying from wellbeing and affect to radicalization and hate. My work is inherently interdisciplinary and I collaborate closely with sociologists, economists, political scientists, and psychologists.
Research
Computational social science; statistical inference; technology and society; radicalization
Selected Publications
Hosseinmardi, H., Ghasemian, A., Rivera-Lanas, M., Horta Ribeiro, M., West, R., & Watts, D. J. (2024). Causally estimating the effect of YouTube’s recommender system using counterfactual bots. Proceedings of the National Academy of Sciences, 121(8), e2313377121.
Hosseinmardi, H., Ghasemian, A., Lerman, K., Narayanan, S., & Ferrara, E. (2023, June). Tensor embedding: A supervised framework for human behavioral data mining and prediction. In 2023 IEEE 11th International Conference on Healthcare Informatics (ICHI) (pp. 91-100). IEEE.
Hosseinmardi, H., Ghasemian, A., Clauset, A., Mobius, M., Rothschild, D. M., & Watts, D. J. (2021). Examining the consumption of radical content on YouTube. Proceedings of the National Academy of Sciences, 118(32), e2101967118.
