Shifting attention to accuracy can reduce misinformation online

被引:578
作者
Pennycook, Gordon [1 ,8 ]
Epstein, Ziv [2 ,3 ]
Mosleh, Mohsen [3 ,4 ]
Arechar, Antonio A. [3 ,5 ]
Eckles, Dean [3 ,6 ]
Rand, David G. [3 ,6 ,7 ]
机构
[1] Univ Regina, Hill Levene Sch Business, Regina, SK, Canada
[2] MIT, Media Lab, Cambridge, MA 02139 USA
[3] MIT, Sloan Sch Management, 77 Massachusetts Ave, Cambridge, MA 02139 USA
[4] Univ Exeter, Dept SITE Sci Innovat Technol & Entrepreneurship, Business Sch, Exeter, Devon, England
[5] Ctr Res & Teaching Econ CIDE, Aguascalientes, Aguascalientes, Mexico
[6] MIT, Inst Data Syst & Soc, 77 Massachusetts Ave, Cambridge, MA 02139 USA
[7] MIT, Dept Brain & Cognit Sci, E25-618, Cambridge, MA 02139 USA
[8] Univ Regina, Dept Psychol, Regina, SK, Canada
基金
加拿大健康研究院;
关键词
FAKE NEWS; LITERACY; TWITTER;
D O I
10.1038/s41586-021-03344-2
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
In recent years, there has been a great deal of concern about the proliferation of false and misleading news on social media(1-4). Academics and practitioners alike have asked why people share such misinformation, and sought solutions to reduce the sharing of misinformation(5-7). Here, we attempt to address both of these questions. First, we find that the veracity of headlines has little effect on sharing intentions, despite having a large effect on judgments of accuracy. This dissociation suggests that sharing does not necessarily indicate belief. Nonetheless, most participants say it is important to share only accurate news. To shed light on this apparent contradiction, we carried out four survey experiments and a field experiment on Twitter; the results show that subtly shifting attention to accuracy increases the quality of news that people subsequently share. Together with additional computational analyses, these findings indicate that people often share misinformation because their attention is focused on factors other than accuracy-and therefore they fail to implement a strongly held preference for accurate sharing. Our results challenge the popular claim that people value partisanship over accuracy(8,9), and provide evidence for scalable attention-based interventions that social media platforms could easily implement to counter misinformation online.
引用
收藏
页码:590 / +
页数:27
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