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Social Media as Mobilizer and Demobilizer

Evidence From Taiwan

Bibliographic Data

ID3489155
AuthorsChing-Hsing Wang (0000-0001-6711-8562, National Cheng Kung University, corresponding author), Chia-Hung Tsai (0000-0002-0672-7783, National Chengchi University)
Year2023
Volume13
Issue1
Publication date2023-01-01
Peer ReviewedYes
Open AccessYes
TypeARTICLE
VenueSAGE Open (JOURNAL)
Journal identifiersISSN: 2158-2440 • E-ISSN: 2158-2440
PublisherSAGE Publications Inc (PUBLISHER)
DOI10.1177/21582440231156806
OpenAlexW4321461142
LanguageEN
Citations received3
References cited45

This study examines the effect of social media use on voter turnout. Given that different social media platforms provide different types of content and people use different social media platforms for different purposes, this study argues that there exist differentiated relationships between different types of social media and voter turnout. Using an original panel data set for the 2018 Taipei mayoral election in Taiwan, this study evaluates how five different types of social media-Facebook, LINE, YouTube, Instagram, and PTT-influence voter participation. The empirical results show that people with frequent use of Facebook and PTT are more likely to vote, whereas the frequent use of YouTube and Instagram decreases voter turnout. Furthermore, the use of LINE has no influence on voter participation. Overall, this study reveals that different types of social media exert heterogeneous effects on voter turnout and suggests that when it comes to the influence of social media on voter turnout, we should pay attention to not only the frequency of social media use but also the purpose of social media use

Advertising · Business · Demographic economics · Econometrics · Economics · Panel data · Political science · Politics · Public relations · Social media · Sociology · Turnout · Voter turnout · Voting · Media Studies and Communication · Social Media and Politics

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Unique citing works3
Citations per year1,5
Citation span2024 - 2026 (3)
Citation velocitycurrent
Highly citedNo
Citation typesNeutral: 3

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