Explainable Machine Learning of Risk and Protective Factors for Social-Media-Related Psychological Distress Across Developmental Stages
SMMH: kaggle.com/datasets/souvikahmed071/social-media-and-mental-health. SSMA: Kaggle “Students’ Social Media Addiction” (adilshamim8). All code (prep.py, devrisk.py, run_experiments.py, explain.py, make_tables.py), per-fold results and figures accompany this manuscript; the full experiment is reproduced with ‘python run_experiments.py 5’.
Authors
- Jamal Sami Zraqou (ORCID: https://orcid.org/0000-0001-9060-7188)
Institutions
- Petra University (JO)
Publication Details
- Journal
- Zenodo (CERN European Organization for Nuclear Research)
- Published
- 2026-11-09
- DOI
- https://doi.org/10.5281/zenodo.24079464
- Primary Topic
- Impact of Technology on Adolescents
- Type
- article
- Field-Weighted Citation Impact
- 0.00