Social Media, Mental Health, self-assessment, medical
Abstract
The extensive influence of social media has transformed the way people interact and communicate in the past two decades. However, as concerns regarding mental health increase alongside the rise of social media, there is growing speculation that correlation exists between the two factors. In the light of this issue, researchers have leveraged machine learning algorithms to examine the potential correlations and understand the health implications. In this paper, we employ three ML models and explore a specific aspect of the issue: the relationship between social media use and sleep, a key indicator of mental health conditions. This investigation can be utilized in medical settings as a preliminary self-assessment, providing access to mental health diagnosis for a wider population.
