Published on in Vol 7 (2023)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/40403, first published .
Development of a COVID-19–Related Anti-Asian Tweet Data Set: Quantitative Study

Development of a COVID-19–Related Anti-Asian Tweet Data Set: Quantitative Study

Development of a COVID-19–Related Anti-Asian Tweet Data Set: Quantitative Study

Maryam Mokhberi   1 , BSc, MSc ;   Ahana Biswas   2 , BSc ;   Zarif Masud   1 , BSc, MSc ;   Roula Kteily-Hawa   3 , BSc, BEd, MPH, MSc, PhD ;   Abby Goldstein   4 , BSc, MSc, PhD ;   Joseph Roy Gillis   4 , BSc, MSc, PhD ;   Shebuti Rayana   5 , BSc, MSc, PhD ;   Syed Ishtiaque Ahmed   1 , BSc, MSc, PhD

1 Department of Computer Science, University of Toronto, Toronto, ON, Canada

2 Indian Institute of Technology Kanpur, Kanpur, India

3 Brescia University College at Western, London, ON, Canada

4 Ontario Institute for Studies in Education, Toronto, ON, Canada

5 Mathematics, Computer & Information Sciences, State University of New York at Old Westbury, Old Westbury, NY, United States

Corresponding Author:

  • Zarif Masud, BSc, MSc
  • Department of Computer Science
  • University of Toronto
  • 145 Cosburn Ave, East York
  • Toronto, ON, M4J 2L2
  • Canada
  • Phone: 1 4166680689
  • Email: zarif.masud@gmail.com