The Price of Competitive Information Disclosure

In many decision-making scenarios, individuals strategically choose what information to disclose to optimize their own outcomes. It is unclear whether such strategic information disclosure can lead to good societal outcomes. To address this question, we consider a competitive Bayesian persuasion model in which multiple agents selectively disclose information about their qualities to a principal, who aims to choose the candidates with the highest qualities. Using the price-of-anarchy framework, we quantify the inefficiency of such strategic disclosure. We show that the price of anarchy is at most a constant when the agents have independent quality distributions, even if their utility functions are heterogeneous. This result provides the first theoretical guarantee on the limits of inefficiency in Bayesian persuasion with competitive information disclosure.

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Publication Details

Published
2026-06-09
DOI
https://doi.org/10.1145/3798129.3800840
Citations
1
Primary Topic
Corruption and Economic Development
Type
article
Field-Weighted Citation Impact
31.65

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article

The Price of Competitive Information Disclosure

Kangning Wang, Kamesh Munagala, Siddhartha Banerjee, Yiheng Shen
1 citations
Corruption and Economic Development
31.65
article

The Price of Competitive Information Disclosure

Kangning Wang, Kamesh Munagala, Siddhartha Banerjee, Yiheng Shen
article en
1 citations

Abstract

In many decision-making scenarios, individuals strategically choose what information to disclose to optimize their own outcomes. It is unclear whether such strategic information disclosure can lead to good societal outcomes. To address this question, we consider a competitive Bayesian persuasion model in which multiple agents selectively disclose information about their qualities to a principal, who aims to choose the candidates with the highest qualities. Using the price-of-anarchy framework, we quantify the inefficiency of such strategic disclosure. We show that the price of anarchy is at most a constant when the agents have independent quality distributions, even if their utility functions are heterogeneous. This result provides the first theoretical guarantee on the limits of inefficiency in Bayesian persuasion with competitive information disclosure.

Rutgers, The State University of New Jersey (US), Duke University (US), Cornell University (US)
National Science Foundation, Division of Electrical, Communications and Cyber Systems, Air Force Office of Scientific Research
Openalex Percentile: Top 2%
Corruption and Economic Development
31.65
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