Privacy and Polarization: An Inference-Based Framework

Tommaso Bondi
Tommaso Bondi
[email protected]
https://orcid.org/0000-0003-4572-0709
Marketing, Cornell Tech and SC Johnson College of Business, Cornell University, New York, New York 10044
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Omid Rafieian
Omid Rafieian
[email protected]
https://orcid.org/0000-0001-8633-2302
Marketing, Cornell Tech and SC Johnson College of Business, Cornell University, New York, New York 10044
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,
Yunfei (Jesse) Yao
Corresponding Author
Yunfei (Jesse) Yao
[email protected]
https://orcid.org/0000-0001-9831-5083
The Chinese University of Hong Kong, Shatin, Hong Kong
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Tommaso Bondi

[email protected]

https://orcid.org/0000-0003-4572-0709

Marketing, Cornell Tech and SC Johnson College of Business, Cornell University, New York, New York 10044

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,

Omid Rafieian

[email protected]

https://orcid.org/0000-0001-8633-2302

Marketing, Cornell Tech and SC Johnson College of Business, Cornell University, New York, New York 10044

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,

Yunfei (Jesse) Yao

Corresponding Author

Yunfei (Jesse) Yao

[email protected]

https://orcid.org/0000-0001-9831-5083

The Chinese University of Hong Kong, Shatin, Hong Kong

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Published Online:9 Jun 2025https://doi.org/10.1287/mnsc.2024.06054

Supplemental Material

mnsc.2024.06054.sm1.pdf

cover image Management Science

Volume 72, Issue 2

February 2026

Pages 783-1726, iv-vi

Article Information

Supplemental Material

Metrics

Information

Received:May 11, 2024
Accepted:April 29, 2025
Published Online:June 09, 2025

Copyright © 2025, INFORMS

Cite as

Tommaso Bondi, Omid Rafieian, Yunfei (Jesse) Yao (2025) Privacy and Polarization: An Inference-Based Framework. Management Science 72(2):1389-1409.

https://doi.org/10.1287/mnsc.2024.06054

Keywords

Acknowledgments

The author names are listed in alphabetical order. The authors thank the department editor, associate editor, three anonymous reviewers, Ron Berman, Alessandro Bonatti, Luis Cabral, Liang Guo, Sachin Gupta, Ganesh Iyer, Justin Johnson, Vrinda Kadiyali, Dmitri Kuksov, Nanda Kumar, Jura Liaukonyte, Ruslan Momot, Amin Sayedi, Steven Shugan, J. Miguel Villas-Boas, Jingbo Wang, and three anonymous ACM Economics and Computation 2024 referees for valuable comments, as well as seminar participants at Cornell and conference participants at Marketing Science 2023, UT Dallas Bass FORMS 2024, Summer Institute in Competitive Strategy 2024, ACM Conference on Economics and Computation 2024, and ESIF Economics and AI+ML Meeting 2024. All errors remain our own.