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Predicting Online Political Participation

The Importance of Selection Bias and Selective Exposure in the Online Setting

Bibliographic Data

ID6340903
AuthorsJessica T Feezell (0000-0001-5630-6752, University of New Mexico, Albuquerque, USA, corresponding author)
Year2016
Volume69
Issue3
Pages495-509
Publication date2016-09-01
Peer ReviewedYes
Open AccessYes
TypeARTICLE
VenuePolitical Research Quarterly (JOURNAL)
Journal identifiersISSN: 1065-9129 • E-ISSN: 1938-274X
PublisherSAGE Publications Inc (PUBLISHER)
DOI10.1177/1065912916652503
OpenAlexW2415395013
LanguageEN
Citations received38
References cited47

Although we have a broad understanding of the factors that predict traditional forms of political participation, we know comparatively less about the determinants of online political participation. Among the limited research that explores the predictors of online political participation, news seeking is often found to be an important factor; however, many studies fail to consider selective exposure and the distinct influence of differing types of information. In this study, I ask, “What factors predict online participation, and what role does selective exposure play in this relationship?” Using a nationally representative sample ( N = 2,250) and a selection model to correct for biased estimates of online political participation, I find that online political participation is not well predicted by the same resource-related determinants that influence traditional participation; specifically, income and age are unrelated to online political participation among Internet users. Second, I find that exposure to political information that reinforces one’s point of view predicts higher levels of online political participation when compared with differing information or information with no point of view. Finally, I conduct a subset analysis of partisan identifiers to examine differences in these relationships among Republicans and Democrats

Online participation · Political communication · Political science · Politics · Sample (material · The Internet · Computer Science · Electoral Systems and Political Participation · Hate Speech and Cyberbullying Detection · Law · Psychology · Social Media and Politics · Social Psychology

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Unique citing works38
Citations per year4,22
Citation span2017 - 2026 (10)
Citation velocitycurrent
Highly citedNo
Citation typesNeutral: 38

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