Restoring Trust in US Elections through Effective Election Administrator Messaging

Author:

Brown Mitchell1ORCID,Hale Kathleen2,Jordan Soren3,Williamson Ryan D4

Affiliation:

1. Department of Political Science, Auburn University Curtis O. Liles III Professor, , Auburn, AL, US

2. Department of Political Science, Auburn University Professor, , Auburn, AL, US

3. Department of Political Science, Auburn University Associate Professor, , Auburn, AL, US

4. Department of Political Science, University of Wyoming Assistant Professor, , Laramie, WY, US

Abstract

Abstract During the 2020 election cycle, numerous national, state, and local organizations mounted campaigns designed to counter mis- and disinformation about election activities and to foster public trust in election processes. Local and state election offices focused intently on creating and disseminating accurate messages about when, where, and how to vote. Despite these efforts, trust in the 2020 election remained confoundingly low. This research analyzes this disconnect between messages from election offices and public trust by testing messages collected from election officials around the country using focus groups and a national panel survey experiment. We find that in focus groups, neutral messages that evoke local connections tested better than other types of messages. Further, messenger characteristics influenced whether participants trusted the messages. Using messages based on these findings, we fielded a survey experiment during the 2022 midterm election cycle, finding that the interaction between baseline trust, racial identification, and identification with the messenger moves trust.

Publisher

Oxford University Press (OUP)

Reference30 articles.

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3