Marijn Keijzer

Marijn Keijzer, Jan Lorenz, and Michał Bojanowski, Computational Social Science of Social Cohesion and Polarization, Springer Cham, February 2026.

Marijn Keijzer, Jan Lorenz, and Michał Bojanowski, “Computational Social Science of Social Cohesion and Polarization”, in Computational Social Science of Social Cohesion and Polarization, Springer Cham, February 2026.

Marijn Keijzer, Lukas Erhard, Zarine Kharazian, and Manika Lamba, “The Anatomy of Rabbit Holes: Studying Information Segregation in YouTube’s Recommendation Graph”, February 2026.

Andreas Flache, Marijn Keijzer, and Michael Mas, “Agent-based models and networks”, in Handbook of Computational Social Science, Taha Yasseri (ed.), Cheltenham: Edward Elgar, 2025.

Peter Steiglechner, Marijn Keijzer, Paul E. Smaldino, Deyshawn Moser, and Agostino Merico, “Noise and opinion dynamics: How ambiguity promotes pro-majority consensus in the presence of confirmation bias”, Royal Society Open Science, vol. 11, n. 4, April 2024.

Marijn Keijzer, Michael Mas, and Andreas Flache, “Polarization on Social Media: Micro-Level Evidence and Macro-Level Implications”, Journal of Artificial Societies and Social Simulation, vol. 27, n. 1, January 2024, 28 pages.

Marijn Keijzer, and Rense Corten, “Socioeconomic status, reputation, and interpersonal trust in peer-to-peer markets: Evidence from an online experiment”, Rationality and Society, vol. 35, n. 1, 2023, pp. 34–60.

Marijn Keijzer, and Michael Mas, “The complex link between filter bubbles and opinion polarization”, Journal of Data Science, vol. 5, n. 1, March 2022, pp. 1–28.

Marijn Keijzer, “If you want to be cited, calibrate your agent-based model: a reply to Chattoe-Brown”, Review of Artificial Societies and Social Simulation, March 2022.