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用网络干预手段阻断 COVID-19 错误信息传播:网络问题的网络解决方案。

Disrupting the COVID-19 Misinfodemic With Network Interventions: Network Solutions for Network Problems.

机构信息

Lindsay E. Young, Emily Sidnam-Mauch, Marlon Twyman, Liyuan Wang, Jackie Jingyi Xu, Emilio Ferrara, Janet Fulk, and Peter Monge are with the Annenberg School for Communication and Journalism, University of Southern California, Los Angeles. Thomas W. Valente is with the Department of Preventive Medicine, Keck School of Medicine, University of Southern California. Matthew Sargent is with the RAND Corporation, Santa Monica, CA.

出版信息

Am J Public Health. 2021 Mar;111(3):514-519. doi: 10.2105/AJPH.2020.306063. Epub 2021 Jan 21.

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.

摘要

在 COVID-19 全球大流行期间,大量烦人的病毒错误信息涌入,有可能通过对公共卫生结果和卫生行为决策产生有害影响,使危机恶化。这种“信息疫情”引发了一波正在进行的研究,旨在描述其内容、确定其来源,并记录其影响。到目前为止,还没有一个有效的策略来打破错误信息。我们首先提出这样一个前提,即 COVID-19 错误信息的传播和持续存在是网络现象,需要网络干预。为此,我们提出了五类社会网络干预措施,为在全球卫生危机期间打破错误信息动态提供了机会。总的来说,这些策略确定了信息环境的五个不同但相互依存的特征,为干预提供了可行的机会。

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