Decoding Online Dialogue: TikTok Mental Health Content & Self Diagnosis Among Gen Z
Bio
Jennet Ovezmuradova is a fourth year student at Toronto Metropolitan University, pursuing a BA in Professional Communication with a minor in Public Relations.
Research Summary
This research aims to investigate the intricate relationship between TikTok, a rapidly growing social media platform, and the self-diagnosis of mental health issues among Gen-Z individuals. As digital technology becomes increasingly integrated into daily life, social media platforms like TikTok have emerged as influential spaces for shaping perceptions of mental health. This project seeks to understand how Gen-Z engages with mental health content on TikTok and the implications this may have on their perceptions of mental well-being.
Utilizing a multi-modal content analysis approach, the study analyzes popular TikTok videos related to mental health to identify recurring themes and communication strategies employed within the platform. By examining the content of user-generated videos and comments, the research aims to uncover patterns of relatability, emotional expression, stigma, skepticism, and self-diagnosis prevalent among Gen-Z users.
The findings of this research will contribute to a deeper understanding of how social media platforms influence the self-diagnosis and perception of mental health issues among Gen-Z individuals. Additionally, the project will shed light on the potential risks and benefits associated with the dissemination of mental health information on TikTok, informing future interventions and initiatives aimed at promoting mental well-being among younger generations in the digital age.
