Breaking Echo Chambers with Personalized News

35 Pages Posted: 7 May 2019 Last revised: 8 Feb 2022

See all articles by Jiemai Wu

Jiemai Wu

The University of Sydney - School of Economics

Date Written: January 18, 2022

Abstract

When a platform such as Google News or Apple News selects personalized news for its user, will it select news that conforms to its user's bias, thus creating an “echo chamber”? To answer this question, this paper studies a game between a click-maximizing platform and a rational user who tries to learn the true state of the world. In equilibrium, driven by user demand, the platform recommends news that contradicts the user's bias. This result stands in contrast with theories of media bias in the literature and is consistent with the recent empirical findings.

Keywords: media bias, personalized news, echo chambers, news aggregator, platform

JEL Classification: C72, D83, L82

Suggested Citation

Wu, Jiemai, Breaking Echo Chambers with Personalized News (January 18, 2022). Available at SSRN: https://ssrn.com/abstract=3375352 or http://dx.doi.org/10.2139/ssrn.3375352

Jiemai Wu (Contact Author)

The University of Sydney - School of Economics ( email )

Social Sciences Building
Room 510
Sydney, NSW 2006
Australia

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