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

Lichen Zhen, Bei Yan, Jack Lipei Tang, Yuanfeixue Nan, Aimei Yang

Research output: Contribution to journalArticlepeer-review

13 Scopus citations

Abstract

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.

Original languageEnglish
Pages (from-to)17-34
Number of pages18
JournalInformation Society
Volume39
Issue number1
DOIs
StatePublished - 2023

Keywords

  • Bots
  • misinformation
  • online communities
  • social influence
  • social networks

Fingerprint

Dive into the research topics of 'Social network dynamics, bots, and community-based online misinformation spread: Lessons from anti-refugee and COVID-19 misinformation cases'. Together they form a unique fingerprint.

Cite this