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Curated Misinformation

Liking Facebook Pages for Fake News Sites

Bibliographic Data

ID7571043
AuthorsKatherine Haenschen (0000-0003-0191-2880, Departments of Communication Studies and Political Science, Northeastern University, Boston, MA, USA, corresponding author), Mia X Shu (Virginia Tech), Jacob A Gilliland (Virginia Tech)
Year2024
Volume68
Issue10
Pages1290-1307
Publication date2024-09-01
Open AccessYes
TypeARTICLE
VenueAmerican Behavioral Scientist (JOURNAL)
Journal identifiersISSN: 0002-7642 • E-ISSN: 1552-3381
PublisherSAGE Publications (PUBLISHER • US)
DOI10.1177/00027642231175638
OpenAlexW4380486443
LanguageEN
Citations received2
References cited31

Facebook was a major conduit to fake news exposure during the 2016 U.S. Presidential election. This article explores factors that predict liking pages for “fake news” websites on the Facebook platform. Leveraging paired survey and digital trace data from 806 American Facebook users, we determine that 18.4% of subjects liked at least one page for a website that published fake news. A substantial share of fake news page likes (23.9%) came from lifestyle sites that also published misinformation. Regression analyses determine that age, male sex, Trump support, and political participation are associated with liking fake news pages. A network analysis based on audience overlap finds three page clusters of fake news content—two right-leaning and one left-leaning—that also contain a majority of political and news pages. Results add nuance to our understanding of fake news by illustrating the role of non-political sources in providing potential exposure to misinformation on Facebook

Advertising · Business · Fake news · Internet privacy · Media studies · Misinformation · Page view · Political science · Politics · Presidential campaign · Presidential election · Presidential system · Social media · Sociology · Web page · World Wide Web · Computer Science · Law · Media Influence and Politics · Misinformation and Its Impacts · Psychology · Social Media and Politics

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Citations per year1
Citation span2024 - 2024 (1)
Highly citedNo

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