论文标题
“ Covid-19是FIFA阴谋#Curropt”：对Covid-19错误信息的病毒传播的调查
"COVID-19 was a FIFA conspiracy #curropt": An Investigation into the Viral Spread of COVID-19 Misinformation
论文作者
论文摘要
传染病和致命性疾病的爆发表明，大流行病袭击了两波的公共卫生：首先是传染本身，其次是由于怀疑和污名的瘟疫。现在，我们手里掌握了道德争议的爆发。现代对社交媒体的依赖不仅促进了疫苗诊所和测试地点的位置的机会，而且更频繁地对“ Covid-19是FIFA是FIFA的阴谋” [1]更经常地解释了。麻省理工学院媒体实验室发现，错误的新闻“在所有类别的信息中，比真理大大扩散，更快，更深层，更广泛地扩散，并且通过一个数量级的顺序” [2]。问题是，错误信息的传播如何与身体流行病相互作用？在本文中，我们估计了使用自然语言处理模型影响了误导性的程度，并在多大程度上影响了Covid-19的过程，并提供了一项策略来打击可能造成广泛危害的社交媒体帖子。
The outbreak of the infectious and fatal disease COVID-19 has revealed that pandemics assail public health in two waves: first, from the contagion itself and second, from plagues of suspicion and stigma. Now, we have in our hands and on our phones an outbreak of moral controversy. Modern dependency on social medias has not only facilitated access to the locations of vaccine clinics and testing sites but also-and more frequently-to the convoluted explanations of how "COVID-19 was a FIFA conspiracy"[1]. The MIT Media Lab finds that false news "diffuses significantly farther, faster, deeper, and more broadly than truth, in all categories of information, and by an order of magnitude"[2]. The question is, how does the spread of misinformation interact with a physical epidemic disease? In this paper, we estimate the extent to which misinformation has influenced the course of the COVID-19 pandemic using natural language processing models and provide a strategy to combat social media posts that are likely to cause widespread harm.
