文章基本信息

标题：Pandemic Pulse: Unraveling and Modeling Social Signals During the COVID-19 Pandemic
本地全文：下载
作者：Steven J. Krieg ; Jennifer J. Schnur ; Jermaine D. Marshall 等
期刊名称：Digital Government: Research and Practice
印刷版ISSN：2691-199X
电子版ISSN：2639-0175
出版年度：2021
卷号：2
页码：1-9
DOI：10.1145/3431805
语种：English
出版社：Association for Computing Machinery
摘要：COVID-19 has presented society with a unique set of challenges, including seeking a scientificunderstanding of the novel coronavirus, modeling its epidemiology, and inferring appropriatesocietal response.In this article, we posit that fighting a pandemic is as much a social endeavor as a medicinal and scientific one and focus on developing a platform for understandthe social pulse of the United States during the COVID-19 crisis. We collected a multitude ofdata that includes longitudinal trends of news topics, social distancing behaviors, communitymobility changes, web searches, and other descriptors of the CoVID-19 pandemic's effects onthe United States.our preliminary results show that the number of COVID-19-related newsarticles published immediately after the World Health Organization declared the pandemic onMarch 11 have steadily decreased—regardless of changes in the number of cases or publicpolicies.Additionally, we found that politically moderate and scientifically grounded sourceshave, relative to baselines measured before the beginning of the pandemic, published a lowerproportion of COVID-19 news articles than more politically extreme sources—a fact that hasimplications for the spread and consequences of misinformation during the pandemic.wesuggest that further analysis of these multi-modal signals could produce meaningful socialinsights and present an interactive dashboard to aid further exploration.
关键词：Covid-19;coronavirus;sars-cov-2;social signals;news data;political bias;social distancing;mobility trends