Breaking Echo Chambers with Personalized News
35 Pages Posted: 7 May 2019 Last revised: 8 Feb 2022
Date Written: January 18, 2022
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
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