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发布者:经济学系     时间:2023-05-23     阅读次数:1281

报告题目:Breaking Echo Chambers with Personalized News(媒体推荐算法能突破信息茧房吗?)

报告人:Jiemai Wu(悉尼大学)




报告人简介:悉尼大学经济学院助理教授(终身),本科毕业于芝加哥大学,博士毕业于圣路易斯华盛顿大学,获经济学博士学位,主要研究微观经济理论、博弈论,论文发表于European Economic Review、​Journal of Economic Behavior and Organization(均为独作)。

报告摘要:When a news 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. We derived the necessary and sufficient conditions for the user to exhibit a preference for headlines that contradict her prior bias, which induces the platform to recommend prior-contradicting headlines. Many classes of distributions, including the Normal distribution, satisfy these conditions. This result stands in contrast with theories of media bias in the literature and is consistent with recent empirical findings.


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