Algorithmic Collective Action with Two Collectives
Published in 2025 ACM Conference on Fairness, Accountability, and Transparency (FAccT), 2025
Building a framework for understanding algorithmic collective action with two or more collectives
Published in 2025 ACM Conference on Fairness, Accountability, and Transparency (FAccT), 2025
Building a framework for understanding algorithmic collective action with two or more collectives
Published in 2025 ACM Conference on Fairness, Accountability, and Transparency (FAccT), 2025
This paper examines how groups can exploit high dispersion personalized pricing via a trading based system to improve outcomes
Recommended citation: Karan, A., Balepur, N., & Sundaram, H. (2024). Designing Fair Systems for Consumers to Exploit Personalized Pricing. arXiv preprint arXiv:2409.02777
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Published in 2023 ACM Conference on Fairness, Accountability, and Transparency (FAccT), 2023
The prices of flights and hotels in an competitive online marketplace (Kayak) is influenced by browsing history and can be decomposed to differnetiation done by the seller as well as non-seller based differentiation.
Recommended citation: Karan, A., Balepur, N., & Sundaram, H. (2023, June). Your Browsing History May Cost You: A Framework for Discovering Differential Pricing in Non-Transparent Markets. In Proceedings of the 2023 ACM Conference on Fairness, Accountability, and Transparency (pp. 717-735).
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