论文标题
在Covid-19爆发期间Twitter上低征用性信息的流行率
Prevalence of Low-Credibility Information on Twitter During the COVID-19 Outbreak
论文作者
论文摘要
随着新颖的冠状病毒在世界各地传播，人们对误解的关注也在增长。在这里，我们估计疫情爆发期间在Twitter上链接与低征用性信息的流行以及机器人在传播这些链接中的作用。我们发现，链接到低征用性信息的推文的组合量与《纽约时报》文章和CDC链接的数量相当。内容分析揭示了大流行的政治化。这些内容的大多数通过转发传播。尽管大多数量是由人类产生的，但社交机器人涉及发布和放大低征用性信息。其中一些帐户似乎以协调的方式扩大了低质量来源。
As the novel coronavirus spreads across the world, concerns regarding the spreading of misinformation about it are also growing. Here we estimate the prevalence of links to low-credibility information on Twitter during the outbreak, and the role of bots in spreading these links. We find that the combined volume of tweets linking to low-credibility information is comparable to the volume of New York Times articles and CDC links. Content analysis reveals a politicization of the pandemic. The majority of this content spreads via retweets. Social bots are involved in both posting and amplifying low-credibility information, although the majority of volume is generated by likely humans. Some of these accounts appear to amplify low-credibility sources in a coordinated fashion.
