Does relying on "close to home" information sources increase voter confidence? Evidence from the 2022 midterm elections

IF 3.2 2区 社会学 Q1 SOCIOLOGY
Thessalia Merivaki , Mara Suttmann-Lea , Rachel Orey
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引用次数: 0

Abstract

Research shows that positive voter experiences shape public views about election integrity, especially confidence that votes are counted accurately. Local election officials (LEOs) play a key role in shaping these experiences. They run elections in voters' local jurisdictions, and are the authoritative sources of official, accurate, and timely information. Despite enjoying “close to home” status however, election officials may not be every voter's top information source for information about how to vote. In this paper, we argue that relying on "close to home" sources — local election offices, local or regional TV stations, and print publications — increases the chances voters are exposed to accurate information about how to vote, which translates into higher confidence in ballot accuracy. Drawing on a nationally representative survey of registered voters before the 2022 U.S. midterm elections, we find a positive relationship between these sources and voter confidence at personal, community, and state levels. This relationship holds even for integrity skeptics, such as Trump voters. While opting into “close to home” information ecosystems improves trust in elections, we note a key caveat: voters who rely on state election offices consistently report lower confidence. This suggests important nuances in how election officials are perceived by the public as trusted messengers in matters of election process and integrity.
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来源期刊
CiteScore
4.30
自引率
4.00%
发文量
0
审稿时长
65 days
期刊介绍: Social Science Research publishes papers devoted to quantitative social science research and methodology. The journal features articles that illustrate the use of quantitative methods in the empirical solution of substantive problems, and emphasizes those concerned with issues or methods that cut across traditional disciplinary lines. Special attention is given to methods that have been used by only one particular social science discipline, but that may have application to a broader range of areas.
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