Algorithmic Pathways to Mental Health Content: How YouTube's Recommendation System Shapes Adolescent Exposure Patterns
This project investigates how YouTube's recommendation algorithm shapes what adolescents encounter when searching for mental health content. Using a mixed-methods approach combining algorithmic walkthroughs (qualitative) with YouTube Data API analysis (quantitative), we identify systematic patterns in how the platform routes users toward or away from professional mental health resources.
Authors
- Bikash Khadka (ORCID: https://orcid.org/0000-0002-4114-8285)
Publication Details
- Journal
- Zenodo (CERN European Organization for Nuclear Research)
- Published
- 2026-05-19
- DOI
- https://doi.org/10.5281/zenodo.20278934
- Primary Topic
- Mental Health via Writing
- Type
- preprint