The Psychological Impact of Social Media: A Machine Learning Perspective on Mental Health
Abstract
With the increasing influence of social media on human behavior, concerns about its impact on mental health have intensified. This paper applies machine learning techniques to analyze social media usage patterns and their correlation with mental health conditions such as anxiety and depression. Using sentiment analysis and natural language processing (NLP), the study examines user-generated content from platforms like WeChat and Weibo to detect early signs of psychological distress. The research discusses the ethical implications of AI-driven mental health assessments and proposes strategies for integrating technology into digital well-being initiatives. Findings suggest that AI-powered tools can aid early intervention and support mental health awareness.
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