User Dynamics and Thematic Exploration in r/Depression During the COVID-19 Pandemic: Insights From Overlapping r/SuicideWatch Users.

Jianfeng Zhu Ruoming Jin Deric R Kenne NhatHai Phan Wei-Shinn Ku

Published in: Journal of medical Internet research (2024)

Our study underscores the effectiveness of using natural language processing techniques to explore language markers and patterns associated with mental health challenges in online communities like r/Depression and r/SuicideWatch. These insights offer novel perspectives distinct from previous research. In the future, there will be potential for further refinement and optimization of machine classifications using these techniques, which could lead to more effective intervention and prevention strategies.

Keyphrases

mental health
randomized controlled trial
depressive symptoms
autism spectrum disorder
sleep quality
systematic review
social media
deep learning
health information
current status
healthcare
mental illness
machine learning
physical activity
climate change
risk assessment
human health