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Article

COVID-19 Twitter-based analysis reveals differential concerns across areas with socioeconomic disparities

2020-11-18

Abstract excerpt

<h4>ABSTRACT</h4> <h4>Objective</h4> We sought to understand how U.S. residents responded to COVID-19 as it emerged, and the extent to which spatial-temporal factors impacted response. <h4>Materials and Methods</h4> We mined and reverse-geocoded 269,556 coronavirus-related social media postings on Twitter from January 23 rd to March 25 th , 2020. We then ranked tweets based on the socioeconomic status of the count...

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Literature Corpus work
1cbab7c2-0564-5a0f-aae7-f1801664aebb
DOI
10.1101/2020.11.18.20233973
Open publication

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COVID-19 Twitter-based analysis reveals differential concerns across areas with socioeconomic disparitiesDOI 10.1101/2020.11.18.20233973
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