Impact of Social Media on Mental Health UsingAI-Based Sentiment Analysis
Keywords:
Social Media, Mental Health, Sentiment Analysis, Artificial Intelligence, Natural LanguageAbstract
The article examines how social media affects mental health in a multifaceted manner by integrating the traditional analysis based on a survey method with the latest artificial intelligence (AI) methods. We are not just looking at the frequency and duration of social media usage among people, but also at the type of content that causes distress, the perception discrepancies between age groups, and how AI instruments can be used to diagnose people who might be at risk. The primary data is combined with secondary data to create blending data. Surveys using large-scale social media samples and using techniques, such as sentiment analysis and natural language processing (NLP), the research study will reveal significant trends between online behavior and psychological performance. The findings point to obvious correlations between the high usage and the negative feelings, as well as reveal the fact that the content type and age are important factors in the formation of experiences. Notably, the study shows that AI-based practices can help in the early identification and intervention. The paper ends by summarizing the practical approaches to more healthy digital interactions and recommending interdisciplinary cooperation to minimize the negative impact of social media on mental health and maintain all its positive aspects.
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