误传
可靠性
影响力营销
社会化媒体
互联网隐私
大流行
计算机科学
造谣
数据科学
上传
2019年冠状病毒病(COVID-19)
业务
万维网
政治学
计算机安全
营销
疾病
医学
关系营销
市场营销管理
法学
病理
传染病(医学专业)
作者
Kai‐Cheng Yang,Francesco Pierri,Pik-Mai Hui,David Axelrod,Christopher Torres-Lugo,John Bryden,Filippo Menczer
标识
DOI:10.1177/20539517211013861
摘要
The global spread of the novel coronavirus is affected by the spread of related misinformation—the so-called COVID-19 Infodemic—that makes populations more vulnerable to the disease through resistance to mitigation efforts. Here, we analyze the prevalence and diffusion of links to low-credibility content about the pandemic across two major social media platforms, Twitter and Facebook. We characterize cross-platform similarities and differences in popular sources, diffusion patterns, influencers, coordination, and automation. Comparing the two platforms, we find divergence among the prevalence of popular low-credibility sources and suspicious videos. A minority of accounts and pages exert a strong influence on each platform. These misinformation “superspreaders” are often associated with the low-credibility sources and tend to be verified by the platforms. On both platforms, there is evidence of coordinated sharing of Infodemic content. The overt nature of this manipulation points to the need for societal-level solutions in addition to mitigation strategies within the platforms. However, we highlight limits imposed by inconsistent data-access policies on our capability to study harmful manipulations of information ecosystems.
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