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

Quality/Credibility of eHealth Information and Trust Issues (371) Medicine 2.0: Social Media, Open, Participatory, Collaborative Medicine (1275) New Methods (666) Information Quality in Digital Media (267) Machine Learning (1008) Vaccination and Immunization in the Digital Age (264)

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

Authors of this article:

Zubair Shah 1, 2 Author Orcid Image ;   Didi Surian 1 Author Orcid Image ;   Amalie Dyda 1 Author Orcid Image ;   Enrico Coiera 1 Author Orcid Image ;   Kenneth D Mandl 3, 4 Author Orcid Image ;   Adam G Dunn 1, 3 Author Orcid Image
Article Authors Cited by (26) Tweetations (52) Metrics
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