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

Formative Evaluation of Digital Health Interventions (3229) Natural Language Processing (917) Quality/Credibility of eHealth Information and Trust Issues (654) Information Seeking, Information Needs (561) Infodemic Management (60) Infoveillance, Infodemiology, Digital Disease Surveillance, Infodemic Management (1139)

Published on in Vol 7 (2023)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/52995, first published .
Automated Credibility Assessment of Web-Based Health Information Considering Health on the Net Foundation Code of Conduct (HONcode): Model Development and Validation Study

Automated Credibility Assessment of Web-Based Health Information Considering Health on the Net Foundation Code of Conduct (HONcode): Model Development and Validation Study

Automated Credibility Assessment of Web-Based Health Information Considering Health on the Net Foundation Code of Conduct (HONcode): Model Development and Validation Study

Authors of this article:

Azadeh Bayani1, 2 Author Orcid Image ;   Alexandre Ayotte1, 2 Author Orcid Image ;   Jean Noel Nikiema1, 2, 3 Author Orcid Image
Article Authors Cited by (3) Tweetations (3) Metrics

Journals

  1. Bayani A, Ayotte A, Nikiema J. Transformer-Based Tool for Automated Fact-Checking of Online Health Information: Development Study. JMIR Infodemiology 2025;5:e56831 View
  2. E T, Li X, Liang J, Ma J, Fang Q, Chen S, Lei J, Chute C. Development of a robust corpus for automated evaluation of online health information in Chinese using the DISCERN scale. Journal of the American Medical Informatics Association 2025 View

Conference Proceedings

  1. Jubaedi A, Rijati N, Fanani A, Andono P, Hasibuan Z. 2024 Ninth International Conference on Informatics and Computing (ICIC). Factors Affecting Stunting Using Automatic Content Analysis: The Computer Framework Approach View