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

被引:802
作者
Guess, Andrew [1 ,2 ]
Nagler, Jonathan [3 ]
Tucker, Joshua [3 ]
机构
[1] Princeton Univ, Dept Polit, Fisher Hall, Princeton, NJ 08544 USA
[2] Princeton Univ, Woodrow Wilson Sch, Fisher Hall, Princeton, NJ 08544 USA
[3] NYU, Wilf Family Dept Polit & Social Media & Polit Par, 19 West 4th St, New York, NY 10012 USA
关键词
MEDIA;
D O I
10.1126/sciadv.aau4586
中图分类号
O [数理科学和化学]; P [天文学、地球科学]; Q [生物科学]; N [自然科学总论];
学科分类号
07 ; 0710 ; 09 ;
摘要
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.
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页数:8
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