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Computer Science > Computers and Society

Title: Antitrust, Amazon, and Algorithmic Auditing

Abstract: In digital markets, antitrust law and special regulations aim to ensure that markets remain competitive despite the dominating role that digital platforms play today in everyone's life. Unlike traditional markets, market participant behavior is easily observable in these markets. We present a series of empirical investigations into the extent to which Amazon engages in practices that are typically described as self-preferencing. We discuss how the computer science tools used in this paper can be used in a regulatory environment that is based on algorithmic auditing and requires regulating digital markets at scale.
Comments: The paper has been accepted to appear at Journal of Institutional and Theoretical Economics (JITE) 2024
Subjects: Computers and Society (cs.CY); Human-Computer Interaction (cs.HC); Information Retrieval (cs.IR)
Cite as: arXiv:2403.18623 [cs.CY]
  (or arXiv:2403.18623v2 [cs.CY] for this version)

Submission history

From: Abhisek Dash [view email]
[v1] Wed, 27 Mar 2024 14:34:22 GMT (5848kb,D)
[v2] Thu, 25 Apr 2024 09:30:56 GMT (5876kb,D)

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