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

New Methods (945) Innovations and Technology for Physical Activity Education (742) Medicine 2.0: Social Media, Open, Participatory, Collaborative Medicine (1641) Infodemiology and Infoveillance (1349)

Published on in Vol 23, No 4 (2021): April

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/20954, first published .
The Feasibility of Using Instagram Data to Predict Exercise Identity and Physical Activity Levels: Cross-sectional Observational Study

The Feasibility of Using Instagram Data to Predict Exercise Identity and Physical Activity Levels: Cross-sectional Observational Study

The Feasibility of Using Instagram Data to Predict Exercise Identity and Physical Activity Levels: Cross-sectional Observational Study

Authors of this article:

Sam Liu1 Author Orcid Image ;   Megan Perdew1 Author Orcid Image ;   Alexander Lithopoulos1 Author Orcid Image ;   Ryan E Rhodes1, 2 Author Orcid Image
Article Authors Cited by (10) Tweetations (4) Metrics

Sam Liu   1 * , PhD ;   Megan Perdew   1 * , MSc ;   Alexander Lithopoulos   1 * , PhD ;   Ryan E Rhodes   1, 2 * , PhD

1 School of Exercise Science, Physical and Health Education, University of Victoria, Victoria, BC, Canada

2 Department of Psychology, University of Victoria, Victoria, BC, Canada

*all authors contributed equally

Corresponding Author:

  • Sam Liu, PhD
  • School of Exercise Science, Physical and Health Education
  • University of Victoria
  • PO Box 3010 STN CSC
  • Victoria, BC, V8W 3N4
  • Canada
  • Phone: 1 2507218392
  • Email: samliu@uvic.ca