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The higher the news literacy, the wider the partisan gap on misinformation acceptance? The three-way interaction effects of news literacy, partisanship, and exposure to partisan YouTube channels on misinformation acceptance

Bibliographic Data

ID6443565
AuthorsKyungeun Jang (0000-0001-9564-368X, Yonsei University, South Korea), Young Min Baek (0000-0001-5101-6190, Yonsei University, South Korea, corresponding author)
Year2023
Volume27
Issue3
Pages1299-1317
Publication date2023-08-18
Peer ReviewedYes
Open AccessYes
TypeARTICLE
VenueNew Media & Society (JOURNAL)
Journal identifiersISSN: 1461-4448 • E-ISSN: 1461-7315
PublisherSAGE Publishing (PUBLISHER • US)
DOI10.1177/14614448231191142
OpenAlexW4385986206
LanguageEN
Citations received2
References cited41

Drawing on two competing hypotheses from the prevention and partisan gap frameworks, this study tests how news literacy, partisanship, and exposure to partisan YouTube channels interact to influence misinformation acceptance. Partisan YouTube channels in this study refer to a type of soft journalistic content with a partisan perspective. Panel survey data ( N = 808) collected during the 2020 South Korean General Election campaign were analyzed. Supporting the partisan gap hypothesis, the results show that when exposed to partisan YouTube channels, those with higher news literacy were more likely to process misinformation in a biased manner, such that party-congenial misinformation is more likely to be accepted, while party-uncongenial misinformation is more likely to be rejected with an increase in news literacy level. This indicates that the effects of news literacy on misinformation acceptance vary depending on political factors. Furthermore, in the context of politically biased media, the partisan gap widens among those with greater news literacy

Advertising · Business · Context (archaeology · Geography · Information literacy · Literacy · Media literacy · Misinformation · Panel survey · Perspective (graphical · Political science · Politics · Public relations · Sociology · Computer Science · Media Studies and Communication · Misinformation and Its Impacts · Psychology · Social Media and Politics

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Unique citing works2
Citations per year1
Citation span2024 - 2026 (3)
Citation velocitycurrent
Highly citedNo
Citation typesNeutral: 2

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