Why Biased Endorsements Can Manipulate Elections

Junze Sun, A. Schram, R. Sloof
{"title":"Why Biased Endorsements Can Manipulate Elections","authors":"Junze Sun, A. Schram, R. Sloof","doi":"10.2139/ssrn.3420703","DOIUrl":null,"url":null,"abstract":"We study the electoral impact of biased endorsements in large Poisson elections with two candidates. Under fairly general conditions, we derive analytical approximations for the asymptotic voting equilibria. We show that, when the electorate is sufficiently polarized, manipulating public information about candidates' qualities can hardly affect the expected party vote shares from an ex-ante perspective. Nevertheless, such information manipulation can systematically affect the election outcome and voter turnout. We apply our framework to study the influence of the endorser's bias and the entry of new endorsers on the extent of electoral manipulation. With a single endorser, a rise in bias affects the election outcome in a non-monotonic way and reduces voter welfare. Importantly and surprisingly, manipulating election outcomes becomes easier, the larger is the electorate. Entry of a new endorser can systematically affect election outcomes and improve voter welfare in large elections if and only if the entrant is strictly less biased than all incumbents. Moreover, we show that such entry can either systematically increase or decrease voter turnout, depending on the biases of entrant and incumbent endorsers.","PeriodicalId":365118,"journal":{"name":"ERN: Other Public Choice: Analysis of Collective Decision-Making (Topic)","volume":"31 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2021-07-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"3","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"ERN: Other Public Choice: Analysis of Collective Decision-Making (Topic)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.2139/ssrn.3420703","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 3

Abstract

We study the electoral impact of biased endorsements in large Poisson elections with two candidates. Under fairly general conditions, we derive analytical approximations for the asymptotic voting equilibria. We show that, when the electorate is sufficiently polarized, manipulating public information about candidates' qualities can hardly affect the expected party vote shares from an ex-ante perspective. Nevertheless, such information manipulation can systematically affect the election outcome and voter turnout. We apply our framework to study the influence of the endorser's bias and the entry of new endorsers on the extent of electoral manipulation. With a single endorser, a rise in bias affects the election outcome in a non-monotonic way and reduces voter welfare. Importantly and surprisingly, manipulating election outcomes becomes easier, the larger is the electorate. Entry of a new endorser can systematically affect election outcomes and improve voter welfare in large elections if and only if the entrant is strictly less biased than all incumbents. Moreover, we show that such entry can either systematically increase or decrease voter turnout, depending on the biases of entrant and incumbent endorsers.
为什么有偏见的支持可以操纵选举
我们研究了在两个候选人的大型泊松选举中有偏见的支持对选举的影响。在相当一般的条件下,我们导出了渐近投票均衡的解析逼近。我们发现,当选民足够两极化时,从事前角度来看,操纵关于候选人品质的公共信息几乎不会影响预期的政党投票份额。然而,这种信息操纵可以系统地影响选举结果和选民投票率。我们应用我们的框架来研究支持者的偏见和新支持者的进入对选举操纵程度的影响。在单一支持者的情况下,偏见的增加以一种非单调的方式影响选举结果,并减少选民的福利。重要且令人惊讶的是,选民越多,操纵选举结果就越容易。在大型选举中,新支持者的加入可以系统性地影响选举结果,并改善选民福利,当且仅当新支持者的偏见严格低于所有现任者。此外,我们表明,这种进入可以系统地增加或减少选民投票率,这取决于新进入者和现任支持者的偏见。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 求助全文
来源期刊
自引率
0.00%
发文量
0
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信