Social network dynamics, bots, and community-based online misinformation spread: Lessons from anti-refugee and COVID-19 misinformation cases

被引:14
|
作者
Zhen, Lichen [1 ]
Yan, Bei [2 ]
Tang, Jack Lipei [1 ]
Nan, Yuanfeixue [1 ]
Yang, Aimei [1 ]
机构
[1] Univ Southern Calif, Annenberg Sch Commun & Journalism, 3502 Watt Way, Los Angeles, CA 90007 USA
[2] Stevens Inst Technol, Sch Business, Hoboken, NJ 07030 USA
关键词
Bots; misinformation; online communities; social influence; social networks; ECHO CHAMBER; FAKE NEWS; MEDIA; DISINFORMATION; DIFFUSION; MODELS; POWER; COMMUNICATION; TRANSITIVITY; INFORMATION;
D O I
10.1080/01972243.2022.2139031
中图分类号
G2 [信息与知识传播];
学科分类号
05 ; 0503 ;
摘要
Networked social influence and strategic information manipulation are two social mechanisms fueling misinformation spread in online communities. However, it is unclear how these two mechanisms differ in their impacts. We conducted social network analyses on two online communities sharing misinformation concerning refugees in 2016 and COVID-19 in 2020. The results robustly showed that online misinformation spread is transitive and positively associated with members' embedded authority (i.e., the extent to which members' information is exclusively shared within the focal community). At the same time, strategic misinformation sharing by members of high community loyalty (i.e., targeted information sharing within the community) is less likely to gain momentum. The impact of bots on misinformation is contingent. Findings suggest that networked social influence is a more powerful driver of misinformation spread than strategic information manipulation.
引用
收藏
页码:17 / 34
页数:18
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