@inproceedings{KDD2026,
author = {D'Ignazi, Jacopo and Fraxanet, Emma and Kaltenbrunner, Andreas and Le Mens, Ga{\"e}l and Germano, Fabrizio and G{\'o}mez, Vicen{\c c}},
title = {Rewarding Engagement and Personalization in Popularity-Based Rankings Amplifies Extremism and Polarization},
year = {2026},
isbn = {9798400722592},
publisher = {Association for Computing Machinery},
address = {New York, NY, USA},
url = {https://doi.org/10.1145/3770855.3818037},
doi = {10.1145/3770855.3818037},
booktitle = {Proceedings of the 32nd ACM SIGKDD Conference on Knowledge Discovery and Data Mining V.2},
pages = {875–886},
numpages = {12},
keywords = {extremism, polarization, ranking algorithms, social media, personalization, agent-based model, human-subject experiments},
location = {Republic of Korea},
series = {KDD '26}
}