AI-Generated “Slop” in Online Biomedical Science Educational Videos: Mixed Methods Study of Prevalence, Characteristics, and Hazards to Learners and Teachers
We find slop to be not especially prevalent on YouTube and TikTok at this time. These videos have comparable viewership statistics to the overall population, although the small dataset suggests this finding should be interpreted with caution. From the slop videos that were identified, several features inconsistent with best practices in multimedia instruction were defined. Our findings should inform learners seeking to avoid low-quality material on video-sharing sites and suggest pitfalls for instructors to avoid when making high-quality educational materials with generative AI.
Authors
- J. Newman (ORCID: https://orcid.org/0000-0002-4389-3182)
- Boyun Kim (ORCID: https://orcid.org/0009-0009-8348-5237)
- Emily J. Fogle (ORCID: https://orcid.org/0000-0002-6041-3830)
- Eric D. Jones (ORCID: https://orcid.org/0000-0002-9994-8859)
Institutions
- California Polytechnic State University (US)
- Oakland University (US)
Publication Details
- Journal
- JMIR Medical Education
- Published
- 2025-11-20
- DOI
- https://doi.org/10.2196/80084
- Citations
- 4
- Primary Topic
- Social Media in Health Education
- Type
- article
- Field-Weighted Citation Impact
- 8.67