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- Title
Disrupting the COVID-19 Misinfodemic With Network Interventions: Network Solutions for Network Problems.
- Authors
Young, Lindsay E.; Sidnam-Mauch, Emily; Twyman, Marlon; Wang, Liyuan; Xu, Jackie Jingyi; Sargent, Matthew; Valente, Thomas W.; Ferrara, Emilio; Fulk, Janet; Monge, Peter
- Abstract
Amid the COVID-19 global pandemic, a highly troublesome influx of viral misinformation threatens to exacerbate the crisis through its deleterious effects on public health outcomes and health behavior decisions. This "misinfodemic" has ignited a surge of ongoing research aimed at characterizing its content, identifying its sources, and documenting its effects. Noticeably absent as of yet is a cogent strategy to disrupt misinformation. We start with the premise that the diffusion and persistence of COVID-19 misinformation are networked phenomena that require network interventions. To this end, we propose five classes of social network intervention to provide a roadmap of opportunities for disrupting misinformation dynamics during a global health crisis. Collectively, these strategies identify five distinct yet interdependent features of information environments that present viable opportunities for interventions.
- Subjects
HEALTH; WEB development; SOCIAL networks; SOCIAL network analysis; INFORMATION resources; ACCESS to information; ONLINE social networks; FAKE news; COVID-19 pandemic
- Publication
American Journal of Public Health, 2021, Vol 111, Issue 3, p514
- ISSN
0090-0036
- Publication type
Article
- DOI
10.2105/AJPH.2020.306063