International Journal of Science, Engineering and TechnologyAuthors: Ms. Ritu Jangra, Mayuresh Yadav, Riya Rani
Abstract: The proliferation of social media portals has substantially impacted the daily lives of adolescents, escalating issues about their consequences on mental health. The surveys analysed that extensive use of social media by teenagers exploits their health by increasing anxiety, depression, sleep disturbances and low self-esteem. On the other side, these portals formulate a broad amount of user-generated data, building new frontiers for enhanced technological analysis. The latest evolution in machine learning, deep learning and cloud computing gave researchers access to evaluate massive amounts of data from social media that identify the behavioural patterns associated with mental health conditions. Different methodologies, such as natural language processing, sentiment analysis, and predictive modelling, are gaining attention for their ability to detect early signs of depression and anxiety by observing online activities, posts, and user interactions. This review examines the correlation between social media usage and adolescent mental health while assessing the significance of cloud-based infrastructure and artificial intelligence (AI) in investigating such data. Cloud computing provides scalable storage and processing capabilities that are essential for managing big data sets which are generated by social media platforms, enabling immediate overviews and analysis. Nevertheless, in spite of the positives of these technologies in early detection and intervention, numerous concerns remain the same, such as data privacy, ethical issues, algorithm bias and limitations in accurately interpreting human emotions. The analysis presents that augmented usage of social media generates a higher risk of anxiety and depression among adolescents; the inclusion of machine learning and cloud computing offers solutions for early detection and mental health support. Continued research should focus on enhancing ethical, transparent and reliable systems that manage technological advancements with user privacy and well-being.
DOI: http://doi.org/10.5281/zenodo.21720841
