TY  - JOUR
AB  - Social media addiction, characterized by compulsive and excessive engagement with social platforms, negatively impacts mental health by fostering unfavorable comparisons between users? lives and the idealized portrayals of others. These curated online personas can distort self-perception, diminish self-esteem, and contribute to long-term psychological distress. While social media offers networking and support, its detrimental effects necessitate a balanced approach to usage. This study investigates the relationship between social media addiction and mental health outcomes using a synthetic dataset, revealing a strong negative correlation (r = -1.0) between addiction severity and mental well-being. A Random Forest model was employed to predict mental health scores based on addiction levels, demonstrating the predictive utility of behavioral engagement metrics. The findings underscore the need for targeted interventions to mitigate the adverse mental health consequences of social media addiction, suggesting that structured approaches could help reduce its psychological burden.
AU  - Chauhan, R
AU  - Al-Tarawneh, AMA
AU  - Al-Dmour, NA
AU  - Mudliyar, K
AU  - Dubey, K
AU  - Yafi, E
AU  - Ghazal, TM
DA  - 2025/09/01
DO  - 10.21833/ijaas.2025.09.009
EP  - 106
JO  - International Journal of Advanced and Applied Sciences
PB  - International Journal of Advanced and Applied Sciences
PY  - 2025/09/01
SP  - 100
TI  - Social media addiction: A comprehensive state of mental health
VL  - 12
Y1  - 2025/09/01
Y2  - 2026/07/17
ER  -