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.
翻译:新科罗纳病毒在全球的传播受到相关错误信息 -- -- 所谓的COVID-19 Infodemic -- -- 的传播的影响,这些错误信息通过抵制减缓努力,使民众更容易受到这一疾病的伤害。我们在这里分析了在两个主要社交媒体平台,即Twitter和Facebook上,与该流行病低可信度内容的联系的普及和扩散情况。我们把大众来源、传播模式、影响者、协调和自动化之间的跨平台相似和差异定性为特征。比较这两个平台,我们发现流行的低可信度来源和可疑视频的普及情况之间存在差异。少数账户和网页对每个平台都产生强烈影响。这些错误信息“超级传播者”往往与低可信度来源有关,并往往由平台加以核实。在这两个平台上,都存在信息信息内容协调共享的证据。这种操纵的公开性质表明,除了平台内的缓解战略外,还需要在社会层面找到解决办法。然而,我们强调,由于数据获取政策不一致,我们研究有害信息生态系统的能力存在局限性。