Competing Bandits: The Perils of Exploration Under Competition.
ACM Trans. Economics and Comput., March, 2025
The MovieLens Beliefs Dataset: Collecting Pre-Choice Data for Online Recommender Systems.
Proceedings of the 18th ACM Conference on Recommender Systems, 2024
The Economics of Recommender Systems: Evidence from a Field Experiment on MovieLens.
Proceedings of the 24th ACM Conference on Economics and Computation, 2023
Drivers of Digital Attention: Evidence from a Social Media Experiment.
Proceedings of the 24th ACM Conference on Economics and Computation, 2023
The Effect of Privacy Regulation on the Data Industry: Empirical Evidence from GDPR.
Proceedings of the EC '21: The 22nd ACM Conference on Economics and Computation, 2021
Deconstructing the Filter Bubble: User Decision-Making and Recommender Systems.
Proceedings of the RecSys 2020: Fourteenth ACM Conference on Recommender Systems, 2020
Competing Bandits: The Perils of Exploration under Competition.
CoRR, 2019
The Perils of Exploration under Competition: A Computational Modeling Approach.
Proceedings of the 2019 ACM Conference on Economics and Computation, 2019