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Applications of AI (998) Artificial Intelligence (4854)

Published on in Vol 1, No 1 (2022): Jan-Dec

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/37751, first published .
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Visualizing the Interpretation of a Criteria-Driven System That Automatically Evaluates the Quality of Health News: Exploratory Study of 2 Approaches

Visualizing the Interpretation of a Criteria-Driven System That Automatically Evaluates the Quality of Health News: Exploratory Study of 2 Approaches

Authors of this article:

Xiaoyu Liu1, 2 Author Orcid Image ;   Hiba Alsghaier1 Author Orcid Image ;   Ling Tong3 Author Orcid Image ;   Amna Ataullah1 Author Orcid Image ;   Susan McRoy1 Author Orcid Image
Article Authors Cited by (2) Tweetations (4) Metrics

Journals

  1. Liu X, He L, Alanazi E, Liu E, Goss A, Gumireddy L. Assessing the accuracy and explainability of using ChatGPT to evaluate the quality of health news. BMC Public Health 2025;25(1) View
  2. Ruani A, Reiss M, Kalea A. Harmful misinformation as a quantifiable risk in health content: WHO-aligned risk assessment framework for flagging potential harms and informing policy safeguards. Journal of Risk Research 2026:1 View