Reading, Commenting and Sharing of Fake News: How Online Bandwagons and Bots Dictate User Engagement

被引:10
|
作者
Molina, Maria D. [1 ]
Wang, Jinping [2 ]
Sundar, S. Shyam [3 ,4 ]
Le, Thai [5 ]
DiRusso, Carlina [5 ]
机构
[1] Michigan State Univ, Advertising & PR Dept, E Lansing, MI 48824 USA
[2] Chinese Univ Hong Kong, Sch Journalism & Commun, Hong Kong, Peoples R China
[3] Penn State Univ, Media Effects, University Pk, PA 16802 USA
[4] Penn State Univ, Media Effects Res Lab, University Pk, PA 16802 USA
[5] Penn State Univ, University Pk, PA 16802 USA
基金
美国国家科学基金会;
关键词
engagement; social media; misinformation; automated journalism; heuristics; CREDIBILITY; EMOTIONS; EXPOSURE; FACEBOOK;
D O I
10.1177/00936502211073398
中图分类号
G2 [信息与知识传播];
学科分类号
05 ; 0503 ;
摘要
Do social media users read, comment, and share false news more than real news? Does it matter if the story is written by a bot and whether it is endorsed by many others? We conducted a selective-exposure experiment (N = 171) to answer these questions. Results showed that real articles were more likely to receive "likes" whereas false articles were more likely to receive comments. Users commented more on a bot-written article when it received fewer likes. We explored the psychological mechanisms underlying these findings in Study 2 (N = 284). Data indicate that users' engagement with online news is largely driven by emotions elicited by news content and heuristics triggered by interface cues, such that curiosity increases consumption of real news, whereas uneasiness triggered by a high number of "likes" encourages comments on fake news.
引用
收藏
页码:667 / 694
页数:28
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