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...
Topics
Open a Topic to create a Post that cites this publication.
Identifiers and source
- Literature Corpus work
- 1cbab7c2-0564-5a0f-aae7-f1801664aebb
- DOI
- 10.1101/2020.11.18.20233973
