首页> 外文期刊>Social Media + Society >Sustained Online Amplification of COVID-19 Elites in the United States
【24h】

Sustained Online Amplification of COVID-19 Elites in the United States

机译:持续在美国Covid-19 Elites的在线放大

获取原文
       

摘要

In the absence of clear, consistent guidelines about the COVID-19 pandemic in the United States, many people use social media to learn about the virus, public health directives, vaccine distribution, and other health information. As people individually sift through a flood of information online, they collectively curate a small set of accounts, known as crowdsourced elites, that receive disproportionate attention for their COVID-19 content. However, these elites are not all created equal: not all accounts have received the same attention during the pandemic, and various demographic and ideological groups have crowdsourced their own elites. Using a mixed-methods approach with a panel of Twitter users in the United States over the first year of the COVID-19 pandemic, we identify COVID-19 crowdsourced elites. We distinguish sustained amplification from episodic amplification and demonstrate that crowdsourced elites vary across demographics with respect to race, geography, and political alignment. Specifically, we show that different subpopulations preferentially amplify elites that are demographically similar to them, and that they crowdsource different types of elite accounts, such as journalists, elected officials, and medical professionals, in different proportions. In light of this variation, we discuss the potential for using the disproportionate online voice of crowdsourced COVID-19 elites to equitably promote public health information and mitigate misinformation across networked publics.
机译:在没有明确,一致的关于Covid-19大流行于美国的指导方针,许多人使用社交媒体了解病毒,公共卫生指令,疫苗分配和其他健康信息。随着人们通过在线泛滥的信息筛选,他们集体策划了一小组账户,称为众群精英,对他们的Covid-19内容感到不成比例的关注。然而,这些精英并非全部创造平等:并非所有账户都在大流行期间接受了同样的关注,各种人口和思想团体都有众所周心的精英。在Covid-19大流行的第一年,使用与美国的Twitter用户面板使用混合方法方法,我们识别Covid-19众群精英。我们区分了从脑外扩增的持续放大,并证明众群精英在种族,地理和政治对准方面越来越各种人口统计。 Specifically, we show that different subpopulations preferentially amplify elites that are demographically similar to them, and that they crowdsource different types of elite accounts, such as journalists, elected officials, and medical professionals, in different proportions.鉴于这种变化,我们讨论了利用众群Covid-19 Elites的不成比例的在线声音,以公平地促进公共卫生信息,并在网络公众中减轻错误信息。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号