This paper is in the following e-collection/theme issue:

Theme Issue: Novel Coronavirus (COVID-19) Outbreak Rapid Reports (1330) Data Science (110) Infodemiology and Infoveillance (1005) JMIR Theme Issue: COVID-19 Special Issue (2089) Medicine 2.0: Social Media, Open, Participatory, Collaborative Medicine (1273) Infoveillance, Infodemiology, Digital Disease Surveillance, Infodemic Management (822) Outbreak and Pandemic Preparedness and Management (1455)

Published on in Vol 6 , No 2 (2020) :Apr-Jun

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/19273, first published .
Tracking Social Media Discourse About the COVID-19 Pandemic: Development of a Public Coronavirus Twitter Data Set

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

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

Authors of this article:

Emily Chen 1 Author Orcid Image ;   Kristina Lerman 1 Author Orcid Image ;   Emilio Ferrara 1 Author Orcid Image
Article Authors Cited by (311) Tweetations (400) Metrics
Emily Chen 1 , BSc ;   Kristina Lerman 1 , PhD ;   Emilio Ferrara 1 , PhD

1 Information Sciences Institute , University of Southern California , Marina del Rey , CA , US

Corresponding Author:

  • Emilio Ferrara, PhD
  • Information Sciences Institute
  • University of Southern California
  • 4676 Admiralty Way, #1001
  • Marina del Rey, CA
  • US
  • Phone: 1 310-448-8661
  • Email: emiliofe@usc.edu