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Less than you think: Prevalence and predictors of fake news dissemination on Facebook

Science advances, 2019-01, Vol.5 (1), p.eaau4586 [Peer Reviewed Journal]

Copyright © 2019 The Authors, some rights reserved; exclusive licensee American Association for the Advancement of Science. No claim to original U.S. Government Works. Distributed under a Creative Commons Attribution NonCommercial License 4.0 (CC BY-NC). 2019 The Authors ;ISSN: 2375-2548 ;EISSN: 2375-2548 ;DOI: 10.1126/sciadv.aau4586 ;PMID: 30662946

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  • Title:
    Less than you think: Prevalence and predictors of fake news dissemination on Facebook
  • Author: Guess, Andrew ; Nagler, Jonathan ; Tucker, Joshua
  • Subjects: SciAdv r-articles ; Social Sciences
  • Is Part Of: Science advances, 2019-01, Vol.5 (1), p.eaau4586
  • Description: So-called "fake news" has renewed concerns about the prevalence and effects of misinformation in political campaigns. Given the potential for widespread dissemination of this material, we examine the individual-level characteristics associated with sharing false articles during the 2016 U.S. presidential campaign. To do so, we uniquely link an original survey with respondents' sharing activity as recorded in Facebook profile data. First and foremost, we find that sharing this content was a relatively rare activity. Conservatives were more likely to share articles from fake news domains, which in 2016 were largely pro-Trump in orientation, than liberals or moderates. We also find a strong age effect, which persists after controlling for partisanship and ideology: On average, users over 65 shared nearly seven times as many articles from fake news domains as the youngest age group.
  • Publisher: United States: American Association for the Advancement of Science
  • Language: English
  • Identifier: ISSN: 2375-2548
    EISSN: 2375-2548
    DOI: 10.1126/sciadv.aau4586
    PMID: 30662946
  • Source: PubMed Central
    DOAJ Directory of Open Access Journals
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