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.

新型冠状病毒的全球传播受到相关错误信息（即所谓的COVID-19 Infodemic）的传播的影响，该错误信息使人们通过对缓解努力的抵抗而更容易感染该疾病。在这里，我们分析了两个主要的社交媒体平台Twitter和Facebook上与大流行有关的低可信度内容的链接的流行和扩散。我们以流行资源，传播方式，影响者，协调和自动化为特征，描述跨平台的相似之处和不同之处。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之间的差异。少数帐户和页面会对每个平台产生很大的影响。这些错误信息的“超级传播者”通常与低可信度来源相关联，并且往往会被平台进行验证。在两个平台上，都有证据表明可以协调共享Infodemic内容。这种操作的公开性质表明，除了平台内的缓解策略外，还需要社会层面的解决方案。但是，我们强调了不一致的数据访问策略对我们研究信息生态系统的有害操纵的能力所施加的限制。