Downloads: 0 | Views: 80
Research Paper | Computer Science | India | Volume 12 Issue 10, October 2023
Use of Data Science to Analyse the Relationship between Social Media Usage and Mental Health Outcomes
Krishna Dev
Abstract: The digital 2022 global overview research estimates that 4.6 billion individuals, or 58.4% of the global masses, were active social media users worldwide in January 2022. This indicates a recent acceleration of greater than 10%. Meanwhile, WHO (WHO, 2022) estimates that the number of individuals influenced by mental illness issues is rising at a pace of 13% annually. Limited study has been done on any potential links between using social networks and mental health and it is interesting and attaining attraction to explore from different dimensions. Therefore, this study investigates the dynamic use of social media and how it affects users' mental well-being. Based on the analysis, excessive use of social media platforms might lead to sadness and anxiety. By concentrating on Facebook, Whatsapp, and Instagram, this study conducted a comprehensive investigation of association among these two components. Research emphasizes distinct tools of data science for analysis, which is the subject of the study based on data collection and the exploratory data analysis (EDA) approach. A database is prepared by covering the time period of 2010 to 2023 and a PRISMA structure was formulated by exploring existing research articles from PubMed, PMC, ScienceDirect and Google Scholar to determine the data, trend related with the theme of this research that is discussing the connection among social networking sites and mental disorders. The outcome indicates that specifically, adolescent age groups are severely affected by emotional elements including anxiety, depression, and other problems. The recommendations are also highlighted in the study to overcome the challenges associated with excessive use of social media platforms and mental health issues.
Keywords: Social media platform and mental health, social media addiction and mental illness, Data science
Edition: Volume 12 Issue 10, October 2023,
Pages: 1466 - 1473