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Replication data for: Social Media and Fake News in the 2016 Election

Version
V0
Resource Type
Dataset
Creator
  • Allcott, Hunt
  • Gentzkow, Matthew
Publication Date
2017-01-01
Description
  • Abstract

    Following the 2016 US presidential election, many have expressed concern about the effects of false stories ("fake news"), circulated largely through social media. We discuss the economics of fake news and present new data on its consumption prior to the election. Drawing on web browsing data, archives of fact-checking websites, and results from a new online survey, we find: 1) social media was an important but not dominant source of election news, with 14 percent of Americans calling social media their "most important" source; 2) of the known false news stories that appeared in the three months before the election, those favoring Trump were shared a total of 30 million times on Facebook, while those favoring Clinton were shared 8 million times; 3) the average American adult saw on the order of one or perhaps several fake news stories in the months around the election, with just over half of those who recalled seeing them believing them; and 4) people are much more likely to believe stories that favor their preferred candidate, especially if they have ideologically segregated social media networks.
Availability
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Relations
  • Is supplemented by
    DOI: 10.1257/jep.31.2.211 (Text)
Publications
  • Allcott, Hunt, and Matthew Gentzkow. “Social Media and Fake News in the 2016 Election.” Journal of Economic Perspectives 31, no. 2 (May 2017): 211–36. https://doi.org/10.1257/jep.31.2.211.
    • ID: 10.1257/jep.31.2.211 (DOI)

Update Metadata: 2019-10-13 | Issue Number: 1 | Registration Date: 2019-10-13

Allcott, Hunt; Gentzkow, Matthew (2017): Replication data for: Social Media and Fake News in the 2016 Election. Version: V0. ICPSR - Interuniversity Consortium for Political and Social Research. Dataset. http://doi.org/10.3886/E113992