EVALUATING THE IMPACT OF AI-BASED MENTAL HEALTH INTERVENTIONS ON SOCIAL MEDIA ADDICTION IN ADOLESCENTS

The pervasive use of social media among adolescents has raised concerns about social media addiction and its detrimental effects on mental health. This study evaluates the impact of AI-based mental health interventions designed to address social media addiction in adolescents. Utilizing AI-driven tools such as virtual therapy chatbots, mood monitoring, and personalized behavioral feedback, the research investigates their effectiveness in reducing addictive behaviors, enhancing emotional regulation, and improving overall well-being. Employing a mixed-method approach, the study assesses changes in social media usage patterns and psychological health indicators before and after intervention. Results demonstrate that AI-based interventions can significantly reduce compulsive social media use and alleviate associated mental health challenges like anxiety and depression. The findings highlight the potential of AI technologies to provide accessible, scalable, and engaging mental health support tailored to the needs of adolescents, offering valuable implications for practitioners, developers, and policymakers aiming to promote healthier digital behaviors.