Computational Social Science
We conduct formal and fundamental research using methods from computational social science particularly in the context of social and digital media.
Some example publications:
- Watson, J., van der Linden, S., Watson, M., & Stillwell, D. (2024). Negative online news articles are shared more to social media. Scientific Reports, 14(1), 21592.
- Kyrychenko, Y., Brik, T., van der Linden, S., & Roozenbeek, J. (2024). Social identity correlates of social media engagement before and after the 2022 Russian invasion of Ukraine. Nature Communications, 15(1), 8127.
- Grimes, D., & van der Linden, S. (2024). Misinformation really does spread like a virus, epidemiology shows. Scientific American.
- Götz, F. M., Maertens, R., Loomba, S., & van der Linden, S. (2022). Let the algorithm speak: How to use neural networks for automatic item generation in psychological scale development. Psychological Methods 29(3), 494-518.
- Rathje, S., He, J.K., Roozenbeek. J., Van Bavel, J., & van der Linden, S. (2022). Social media behavior is associated with vaccine hesitancy. PNAS Nexus 1(4), pgac207, 118 (26) e2024292118.
- Pilditch, T., Roozenbeek, J., Madsen, J., & van der Linden, S. (2022). Psychological inoculation can reduce susceptibility to misinformation in large rational agent networks. Royal Society Open Science 9, 211953.
- Rathje, S., Van Bavel, J.J., & van der Linden, S. (2021). Outgroup animosity drives engagement on social media. Proceedings of the National Academy of Sciences118 (26) e2024292118.
- Fong, A., Roozenbeek, J., Goldwert, D., Rathje, S., & van der Linden, S. (2021). The language of conspiracy: A psychological analysis of speech used by conspiracy theorists and their followers on Twitter. Group Processes and Intergroup Relations 24(4), 606-623.