Published on in Vol 26 (2024)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/47923, first published .
Methods and Annotated Data Sets Used to Predict the Gender and Age of Twitter Users: Scoping Review

Methods and Annotated Data Sets Used to Predict the Gender and Age of Twitter Users: Scoping Review

Methods and Annotated Data Sets Used to Predict the Gender and Age of Twitter Users: Scoping Review

Karen O'Connor   1 , MSc ;   Su Golder   2 , PhD ;   Davy Weissenbacher   3 , PhD ;   Ari Z Klein   1 , PhD ;   Arjun Magge   1 , PhD ;   Graciela Gonzalez-Hernandez   3 , PhD

1 Department of Biostatistics, Epidemiology and Informatics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, United States

2 Department of Health Sciences, University of York, York, United Kingdom

3 Department of Computational Biomedicine, Cedars-Sinai Medical Center, Los Angeles, CA, United States

Corresponding Author:

  • Karen O'Connor, MSc
  • Department of Biostatistics, Epidemiology and Informatics
  • Perelman School of Medicine
  • University of Pennsylvania
  • 423 Guardian Dr
  • Philadelphia, PA, 19004
  • United States
  • Phone: 1 215 573 8089
  • Email: karoc@pennmedicine.upenn.edu