The DOI matches its Crossref record; 6 of the 6 references it cites were found in a registry or an index.
Social Media and Fake News in the 2016 Election
Open accessAbstract
Following the 2016 U.S. 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: (i) social media was an important but not dominant source of election news, with 14 percent of Americans calling social media their "most important" source; (ii) 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; (iii) 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 (iv) people are much more likely to believe stories that favor their preferred candidate, especially if they have ideologically segregated social media networks.
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Cites
Motivated Skepticism in the Evaluation of Political Beliefs
Taber, C. S., & Lodge, M. (2006) · American Journal of Political Science · doi:10.1111/j.1540-5907.2006.00214.x · Cited by 4,344
Filter Bubbles, Echo Chambers, and Online News Consumption
Flaxman, S., Goel, S., & Rao, J. M. (2016) · Public Opinion Quarterly · doi:10.1093/poq/nfw006 · Cited by 1,992
Political Polarization in the American Public
Fiorina, M. P., & Abrams, S. J. (2008) · Annual Review of Political Science · doi:10.1146/annurev.polisci.11.053106.153836 · Cited by 1,881
Effective messages in vaccine promotion: a randomized trial
Nyhan, B., Reifler, J., Richey, S., & Freed, G. L. (2014) · Pediatrics · doi:10.1542/peds.2013-2365 · Cited by 1,300
GERBER, A. S., GIMPEL, J. G., GREEN, D. P., & SHAW, D. R. (2011) · American Political Science Review · doi:10.1017/s000305541000047x · Cited by 596
Mass polarization: Manifestations and measurements
Lelkes, Y. (2016) · Public Opinion Quarterly · doi:10.1093/poq/nfw005 · Cited by 591
Cited by
Fake News Detection on Social Media: A Data Mining Perspective
Shu, K., Sliva, A., Wang, S., Tang, J., & Liu, H. (2017) · ACM SIGKDD Explorations Newsletter · doi:10.1145/3137597.3137600 · Cited by 3,304
Pennycook, G., & Rand, D. G. (2019) · Cognition · doi:10.1016/j.cognition.2018.06.011 · Cited by 2,022
Prior exposure increases perceived accuracy of fake news
Pennycook, G., Cannon, T. D., & Rand, D. G. (2018) · Journal of Experimental Psychology General · doi:10.1037/xge0000465 · Cited by 1,268
Influence of fake news in Twitter during the 2016 US presidential election
Bovet, A., & Makse, H. A. (2019) · Nature Communications · doi:10.1038/s41467-018-07761-2 · Cited by 701
A survey on fake news and rumour detection techniques
Bondielli, A., & Marcelloni, F. (2019) · Information Sciences · doi:10.1016/j.ins.2019.05.035 · Cited by 658
Metadata
- Authors
- Allcott, H., & Gentzkow, M.
- Venue
- National Bureau of Economic Research
- Publisher
- National Bureau of Economic Research
- Published
- 2017-01
- OpenAlex
- W3124085958
- Cited by
- 608
- References
- 6
- Type
- report
- Language
- en
- Open access
- green
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