解读COVID-19成立初期美国社会经济的动荡
Understanding the Socio-Economic Disruption in the United States during COVID-19's Early Days
摘要：
在本文中，我们收集并研究Twitter通信，以了解COVID-19在大流行初期对美国的社会经济影响。我们的分析显示，COVID-19在此期间席卷全国，这从大量的趋势标签中可以看出。随着感染率的迅速上升，用户们在Twitter上要求人们自我隔离。用户还要求关闭学校、酒吧和餐馆，以及封锁城市和州。这些信函揭示了随之而来的恐慌性购买和一些必需品，特别是卫生纸的缺乏。我们还观察到，随着病毒的继续传播，用户在通信中表达了他们的沮丧。我们通过识别和跟踪与COVID相关的标签，系统地收集了总共530，206条推文。然后，我们将标签分为六个主要类别，即1）一般COVID，2）隔离，3）恐慌购买，4）学校关闭，5）锁定，以及6）挫折和希望，并研究这些标签中推文的时间演变。我们对所有标签组共有的单词和每个标签组特有的单词进行语言分析。我们的初步研究提供了人们对大流行的反应的简洁和汇总图，并为未来的精细语言和行为分析奠定了基础。
英文摘要：
In this paper, we collect and study Twitter communications to understand the socio-economic impact of COVID-19 in the United States during the early days of the pandemic. Our analysis reveals that COVID-19 gripped the nation during this time as is evidenced by the significant number of trending hashtags. With infections soaring rapidly, users took to Twitter asking people to self isolate and quarantine themselves. Users also demanded closure of schools, bars, and restaurants as well as lockdown of cities and states. The communications reveal the ensuing panic buying and the unavailability of some essential goods, in particular toilet paper. We also observe users express their frustration in their communications as the virus spread continued. We methodically collect a total of 530,206 tweets by identifying and tracking trending COVID-related hashtags. We then group the hashtags into six main categories, namely 1) General COVID, 2) Quarantine, 3) Panic Buying, 4) School Closures, 5) Lockdowns, and 6) Frustration and Hope, and study the temporal evolution of tweets in these hashtags. We conduct a linguistic analysis of words common to all the hashtag groups and specific to each hashtag group. Our preliminary study presents a succinct and aggregated picture of people's response to the pandemic and lays the groundwork for future fine-grained linguistic and behavioral analysis.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
