个性化新闻聚合的政治

Lin Hu, Anqi Li, I. Segal
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引用次数: 6

摘要

我们研究了理性注意力不集中选民(NARI)的个性化新闻聚合如何影响政策两极分化。在两个候选人的选举竞争模型中,注意力最大化的信息中介将候选人的源数据聚合成易于消化的新闻。选民决定是否消费新闻,在提高表达性投票的预期收益与注意力成本之间进行权衡。NARI即使是出于公职动机,也会产生政策两极化。个性化的新闻聚合使得极端选民成为政策两极分化的惩戒实体。它们信号的偏态有助于在均衡状态下维持高度的政策两极分化。对约束选民的分析揭示了规范信息中介的均衡和福利后果。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
The Politics of Personalized News Aggregation
We study how personalized news aggregation for rationally inattentive voters (NARI) affects policy polarization. In a two-candidate electoral competition model, an attention-maximizing infomediary aggregates source data about candidates’ valence into easy-to-digest news. Voters decide whether to consume news, trading off the expected gain from improved expressive voting against the attention cost. NARI generates policy polarization even if candidates are office motivated. Personalized news aggregation makes extreme voters the disciplining entity of policy polarization. The skewness of their signals helps sustain a high degree of policy polarization in equilibrium. Analysis of disciplining voters informs the equilibrium and welfare consequences of regulating infomediaries.
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