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, 5 (1), eaau4586

Less Than You Think: Prevalence and Predictors of Fake News Dissemination on Facebook


Less Than You Think: Prevalence and Predictors of Fake News Dissemination on Facebook

Andrew Guess et al. Sci Adv.


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.


Fig. 1
Fig. 1. Distribution of total and fake news shares.
(Left) Histogram of the total number of links to articles on the web shared by respondents in the sample who identified as Democrats, Republicans, or independents. (Right) Stacked histogram of the number of fake news articles shared by respondents who identified as Democrats, Republicans, or independents using the measure derived from (7).
Fig. 2
Fig. 2. Average number of fake news shares (and 95% CIs) using the list of domains derived from (7).
(A) Party identification, (B) age group, (C) ideological self-placement, and (D) overall number of Facebook wall posts. Proportions adjusted to account for sample-matching weights derived from the third wave of the SMaPP YouGov panel survey.

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    1. Lazer D. M. J., Baum M. A., Benkler Y., Berinsky A. J., Greenhill K. M., Menczer F., Metzger M. J., Nyhan B., Pennycook G., Rothschild D., Schudson M., Sloman S. A., Sunstein C. R., Thorson E. A., Watts D. J., Zittrain J. L., The science of fake news. Science 359, 1094–1096 (2018). - PubMed
    1. Allcott H., Gentzkow M., Social media and fake news in the 2016 election. J. Econ. Perspect. 31, 211–236 (2017).
    1. A. Guess, B. Nyhan, J. Reifler, “Selective exposure to misinformation: Evidence from the consumption of fake news during the 2016 U.S. presidential campaign” (2016).
    1. G. Pennycook, T. D. Cannon, D. G. Rand, Prior exposure increases perceived accuracy of fake news. J. Exp. Psychol. Gen., in press. - PMC - PubMed
    1. Porter E., Wood T. J., Kirby D., Sex trafficking, Russian infiltration, birth certificates, and pedophilia: A survey experiment correcting fake news. J. Exp. Polit. Sci. 5, 159–164 (2018).

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