Evaluating Mental Health and Well-Being through Social Media Analysis

As social media platforms continue to gain popularity, there is increasing interest in understanding how online interactions affect users' mental health and overall well-being. This study takes a novel approach by collecting and analyzing social media data to assess mental health comprehensively. By utilizing data from various platforms, we employed thorough analytical techniques to gain valuable insights into users' mental states. The study addresses the crucial issue of the impact of social media on mental health and well-being by providing a detailed dataset and analytical framework for future research and intervention development. Our findings reveal significant correlations between social media activity patterns, sentiment analysis, and self-reported mental health indicators. We demonstrate the potential of using online discussions for early mental health intervention and monitoring. This research not only advances the field of mental health assessment but also offers practical implications for mental health professionals, policymakers, and developers of social media platforms in enhancing online mental health support. By highlighting the effectiveness of data-driven approaches, this study reveals innovative ways to improve mental health and well-being assessments in the digital age.