Fuentes Agustín, Peterson Jeffrey V
Department of Anthropology, Princeton University, Princeton, NJ, United States of America.
Department of Anthropology, University of Notre Dame, Notre Dame, IN, United States of America.
PLoS One. 2021 May 5;16(5):e0251179. doi: 10.1371/journal.pone.0251179. eCollection 2021.
The social media milieu in which we are enmeshed has substantive impacts on our beliefs and perceptions. Recent work has established that this can play a role in influencing understanding of, and reactions to, public health information. Twitter, in particular, appears to play a substantive role in the public health information ecosystem. From July 25th, 2020 to November 15th, 2020, we collected weekly tweets related to COVID19 keywords and assessed their networks, patterns and properties. Our analyses revealed the dominance of a handful of individual accounts as central structuring agents in the networks of tens of thousands of tweets and retweets, and thus millions of views, related to specific COVID19 keywords. These few individual accounts and the content of their tweets, mentions, and retweets are substantially overrepresented in terms of public exposure to, and thus interaction with, critical elements of public health information in the pandemic. Here we report on one particularly striking aspect of our dataset: the prominent position of @realdonaldtrump in Twitter networks related to four key terms of the COVID19 pandemic in 2020.
我们所处的社交媒体环境对我们的信念和认知有着实质性影响。近期研究表明，这在影响对公共卫生信息的理解和反应方面能发挥作用。特别是推特，在公共卫生信息生态系统中似乎扮演着重要角色。从2020年7月25日至2020年11月15日，我们收集了与新冠疫情关键词相关的每周推文，并评估了它们的网络、模式和属性。我们的分析揭示，在与特定新冠疫情关键词相关的数以万计的推文和转发（从而数百万的浏览量）网络中，少数几个个人账户占据主导地位，成为核心构建主体。就公众接触并进而与疫情期间公共卫生信息的关键要素互动而言，这少数几个个人账户及其推文、提及和转发的内容被过度呈现。在此，我们报告我们数据集中一个特别显著的方面：@realdonaldtrump在2020年与新冠疫情四个关键术语相关的推特网络中的突出地位。
