The Perils of Exploration under Competition: A Computational Modeling Approach. - Guy Aridor; Kevin Liu; Aleksandrs Slivkins; Zhiwei Steven Wu (EC, 2019)

Competing Bandits: The Perils of Exploration under Competition. - Guy Aridor; Kevin Liu; Aleksandrs Slivkins; Zhiwei Steven Wu (CoRR, 2019)

Deconstructing the Filter Bubble: User Decision-Making and Recommender Systems. - Guy Aridor; Duarte Gonçalves; Shan Sikdar (RecSys, 2020)

The Effect of Privacy Regulation on the Data Industry: Empirical Evidence from GDPR. - Guy Aridor; Yeon-Koo Che; Tobias Salz (EC, 2021)

Drivers of Digital Attention: Evidence from a Social Media Experiment. - Guy Aridor (EC, 2023)

The Economics of Recommender Systems: Evidence from a Field Experiment on MovieLens. - Guy Aridor; Duarte Gonçalves; Daniel Kluver; Ruoyan Kong; Joseph A. Konstan (EC, 2023)

The MovieLens Beliefs Dataset: Collecting Pre-Choice Data for Online Recommender Systems. - Guy Aridor; Duarte Gonçalves; Ruoyan Kong; Daniel Kluver; Joseph A. Konstan (RecSys, 2024)

Competing Bandits: The Perils of Exploration Under Competition. - Guy Aridor; Yishay Mansour; Aleksandrs Slivkins; Steven Wu 001 (ACM Trans. Economics and Comput., 2025)