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 , AU

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

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

4 Department of Biomedical Informatics, Harvard Medical School , Boston, MA, US

Corresponding Author:

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