articleJMIR Public Health and SurveillanceMay 19, 2020GOLD OA

Tracking Social Media Discourse About the COVID-19 Pandemic: Development of a Public Coronavirus Twitter Data Set

ECEmily ChenKLKristina LermanEFEmilio Ferrara

University of Southern California

PubMed
Indexed inarxivcrossrefdoajpubmed

Abstract

Background

At the time of this writing, the coronavirus disease (COVID-19) pandemic outbreak has already put tremendous strain on many countries' citizens, resources, and economies around the world. Social distancing measures, travel bans, self-quarantines, and business closures are changing the very fabric of societies worldwide. With people forced out of public spaces, much of the conversation about these phenomena now occurs online on social media platforms like Twitter.

Objective

In this paper, we describe a multilingual COVID-19 Twitter data set that we are making available to the research community via our COVID-19-TweetIDs GitHub repository.

Citation impact

522
total citations
FWCI
148.31
Percentile
100%
References
12
Citations per year

Authors

3
  • EC
    Emily Chen

    University of Southern California

  • KL
    Kristina Lerman

    University of Southern California

  • EF
    Emilio FerraraCorresponding

    University of Southern California

Topics & keywords

Keywords
  • Misinformation
  • Social media
  • Context (archaeology)
  • Set (abstract data type)
  • Tracking (education)
  • Conversation
  • Coronavirus disease 2019 (COVID-19)
  • Coronavirus
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