论文标题
COVID-19 Infodemic:Twitter与Facebook
The COVID-19 Infodemic: Twitter versus Facebook
论文作者
论文摘要
新型冠状病毒的全球传播受到相关错误信息的传播(所谓的Covid-19 Infodemic)的影响,该信息通过抵抗缓解努力而容易受到疾病的影响。在这里,我们分析了两个主要的社交媒体平台Twitter和Facebook中与大流行有关的链接的流行和扩散。我们表征了跨平台的相似性和流行来源,扩散模式,影响者,协调和自动化的差异。比较了两个平台,我们发现流行的低掌握能源和可疑视频的流行率之间存在分歧。少数帐户和页面对每个平台产生了强大的影响。这些错误的信息“超级广播员”通常与低可信度来源有关,并且往往会通过平台验证。在这两个平台上,都有证据表明相协调的流行含量共享。这种操纵的公开性质表明,除了平台内的缓解策略外,还需要社会级别的解决方案。但是,我们重点介绍了由于我们研究信息生态系统有害操纵的能力而施加的限制。
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.