Published on in Vol 21, No 11 (2019): November

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/14007, first published .
Automatically Appraising the Credibility of Vaccine-Related Web Pages Shared on Social Media: A Twitter Surveillance Study

Automatically Appraising the Credibility of Vaccine-Related Web Pages Shared on Social Media: A Twitter Surveillance Study

Automatically Appraising the Credibility of Vaccine-Related Web Pages Shared on Social Media: A Twitter Surveillance Study

Zubair Shah   1, 2 , PhD ;   Didi Surian   1 , PhD ;   Amalie Dyda   1 , PhD ;   Enrico Coiera   1 , PhD, MBBS ;   Kenneth D Mandl   3, 4 , MD, MPH ;   Adam G Dunn   1, 3 , PhD

1 Centre for Health Informatics, Australian Institute of Health Innovation, Macquarie University, Sydney, Australia

2 Division of Information and Communication Technology, College of Science and Engineering, Hamad Bin Khalifa University, Doha, Qatar

3 Computational Health Informatics Program, Boston Children’s Hospital, Boston, MA, United States

4 Department of Biomedical Informatics, Harvard Medical School, Boston, MA, United States

Corresponding Author:

  • Adam G Dunn, PhD
  • Centre for Health Informatics
  • Australian Institute of Health Innovation
  • Macquarie University
  • Sydney
  • Australia
  • Phone: 61 9850 2400
  • Email: adam.dunn@mq.edu.au