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

Andrew Guess, Jonathan Nagler, Joshua Tucker

Research output: Contribution to journalArticle

Abstract

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.

Original languageEnglish (US)
Article numbereaau4586
JournalAsian-Australasian Journal of Animal Sciences
Volume32
Issue number2
DOIs
StatePublished - 2019

ASJC Scopus subject areas

  • Food Science
  • Animal Science and Zoology
  • Engineering(all)

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