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

Artificial Intelligence (AI) in Medical Education (224) Information Retrieval (359) Quality/Credibility of eHealth Information and Trust Issues (671) Information Quality in Digital Media (414) Information Seeking, Information Needs (575) Social Media in Medical Education (93) Infoveillance and Social Listening (320) Misinformation and Disinformation Outbreaks and Information Prevalence Studies (102)

Published on in Vol 11 (2025)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/80084, first published .
AI-Generated “Slop” in Online Biomedical Science Educational Videos: Mixed Methods Study of Prevalence, Characteristics, and Hazards to Learners and Teachers

AI-Generated “Slop” in Online Biomedical Science Educational Videos: Mixed Methods Study of Prevalence, Characteristics, and Hazards to Learners and Teachers

AI-Generated “Slop” in Online Biomedical Science Educational Videos: Mixed Methods Study of Prevalence, Characteristics, and Hazards to Learners and Teachers

Authors of this article:

Eric M Jones1 Author Orcid Image ;   Jane D Newman1 Author Orcid Image ;   Boyun Kim2 Author Orcid Image ;   Emily J Fogle3 Author Orcid Image
Article Authors Cited by (3) Tweetations Metrics

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  2. Tarlinton R. Avian influenza: how well is relevant biosecurity information communicated via online resources?. Veterinary Record 2026;198(4):172 View
  3. Giray L, Sevnarayan K, Maphoto K, Wider W. AI Slop in Academic Publishing: History, Characteristics, Manifestations, Causes, and Mitigation Strategies. Internet Reference Services Quarterly 2026:1 View