Leveraging AI for Analysis of Digital Health Information on Cancer Prevention Among Arab Youth and Adults: Content Analysis
Arabic-language TikTok cancer prevention content is highly engaging but variable in quality, with emotionally framed videos attracting substantial attention despite lower informational value. Artificial intelligence-assisted tools show strong potential for scalable, multilingual health content analysis, but multimodal approaches are needed to accurately interpret tonal and audiovisual features.
Authors
- Israa Ismail
- David Scales (ORCID: https://orcid.org/0000-0001-5727-7148)
- Perla Chebli (ORCID: https://orcid.org/0000-0002-0344-442X)
- Obada Al Zoubi
- Laura C. Pinheiro
- Safa El Kefi
- Erica Phillips
- Orysya Soroka
- Alia Komsany
Institutions
- Binghamton University (US)
- Cornell University (US)
Publication Details
- Journal
- JMIR Infodemiology
- Published
- 2026-01-09
- DOI
- https://doi.org/10.2196/77888
- Primary Topic
- Health Literacy and Information Accessibility
- Type
- article
- Field-Weighted Citation Impact
- 0.00