Electoral Accountability and Selection with Personalized News Aggregation
Anqi Li,
Lin Hu and
Ilya Segal
Papers from arXiv.org
Abstract:
We study a model of electoral accountability and selection (EAS) in which voters with heterogeneous horizontal preferences pay limited attention to the incumbent's performance using personalized news aggregators. Extreme voters' aggregators exhibit an own-party bias, which hampers their abilities to discern good and bad performances. While this effect alone could undermine EAS, there is a countervailing effect stemming from partisan disagreements, which make the centrist voter pivotal and could potentially enhance EAS. Overall, increasing mass polarization and shrinking attention spans have ambiguous effects on EAS, whereas correlating voters' news signals unambiguously improves EAS and voter welfare.
Date: 2020-09, Revised 2020-12
New Economics Papers: this item is included in nep-cdm and nep-mic
References: View references in EconPapers View complete reference list from CitEc
Citations: Track citations by RSS feed
Downloads: (external link)
http://arxiv.org/pdf/2009.03761 Latest version (application/pdf)
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:arx:papers:2009.03761
Access Statistics for this paper
More papers in Papers from arXiv.org
Bibliographic data for series maintained by arXiv administrators ().