Chong Miyoung
University of Virginia Charlottesville Virginia USA.
Proc Assoc Inf Sci Technol. 2020;57(1):e363. doi: 10.1002/pra2.363. Epub 2020 Oct 22.
During the COVID-19 crisis, fake news, conspiracy theories, and backlash against specific groups emerged and were largely diffused via social media. This phenomenon has been described as an "infodemic," and this study examined that the characteristics of infodemic on Twitter. Typological attributes of the infodemic Twitter network presented the features of "community clusters." The frequently shard domains and URLs demonstrated coherent characteristics within the network. Top domains and URLs were trustworthy information sources, popular blogs, and public health research institutions. Interestingly, the most shard conversational content of the network was a COVID-19 relevant incident occurred at a church in Korea based on misinformation and false belief.
在新冠疫情危机期间,假新闻、阴谋论以及针对特定群体的强烈反对情绪出现,并主要通过社交媒体传播。这种现象被描述为“信息疫情”,本研究考察了推特上信息疫情的特征。信息疫情推特网络的类型学属性呈现出“社区集群”的特征。频繁分享的域名和网址在网络内显示出连贯的特征。顶级域名和网址是可靠的信息来源、热门博客和公共卫生研究机构。有趣的是,该网络中分享最多的对话内容是基于错误信息和错误信念而发生在韩国一座教堂的与新冠疫情相关的事件。