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

Theme Issue: Novel Coronavirus (COVID-19) Outbreak Rapid Reports (1481) Data Science (223) Infodemiology and Infoveillance (1269) JMIR Theme Issue: COVID-19 Special Issue (2388) Medicine 2.0: Social Media, Open, Participatory, Collaborative Medicine (1552) Infoveillance, Infodemiology, Digital Disease Surveillance, Infodemic Management (1010) Outbreak and Pandemic Preparedness and Management (1673) Discourse (38)

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 Chen1 Author Orcid Image ;   Kristina Lerman1 Author Orcid Image ;   Emilio Ferrara1 Author Orcid Image
Article Authors Cited by (387) Tweetations (378) 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, United States

Corresponding Author:

  • Emilio Ferrara, PhD
  • Information Sciences Institute
  • University of Southern California
  • 4676 Admiralty Way, #1001
  • Marina del Rey, CA, 90292
  • United States
  • Phone: 1 310-448-8661
  • Email: emiliofe@usc.edu