Identifying Misinformation About Unproven Cancer Treatments on Social Media Using User-Friendly Linguistic Characteristics: Content Analysis
This analysis resulted in user-friendly recommendations, such as exercising caution when encountering social media posts featuring unwavering assurances or specific numbers lacking references. Future studies should test the efficacy of the recommendations among information users.
Authors
- Angela B. Smith (ORCID: https://orcid.org/0000-0003-3930-9817)
- Carrie Baldwin-SoRelle (ORCID: https://orcid.org/0000-0003-3130-881X)
- Jennifer Elston Lafata (ORCID: https://orcid.org/0000-0002-8550-6195)
- Ilona Fridman (ORCID: https://orcid.org/0000-0001-6130-3134)
- Dahlia Boyles (ORCID: https://orcid.org/0000-0002-1918-3666)
- Ria Chheda
Institutions
- University of North Carolina at Chapel Hill (US)
- UNC Lineberger Comprehensive Cancer Center
Publication Details
- Journal
- JMIR Infodemiology
- Published
- 2025-02-12
- DOI
- https://doi.org/10.2196/62703
- Citations
- 4
- Primary Topic
- Misinformation and Its Impacts
- Type
- article
- Field-Weighted Citation Impact
- 16.81