Using Social Media Data to Predict Mental Health Issues: A Tertiary Study

Outlet Title

IGI Global

Document Type

Book

Publication Date

2025

Abstract

Addressing the pervasive issue of mental illnesses in the U.S. necessitates innovative approaches. This study explores the potential of social media platforms as valuable sources for detecting mental health issues, leveraging the spontaneous and open expression of users' thoughts and feelings. Previous research has applied machine learning techniques to social media data to predict mental health states, which this study aims to expand by providing a holistic view of the strategies used for identifying mental health concerns through social media analysis. Our research questions focus on the strategies for utilizing social media data, the efficacy of these strategies, the challenges faced, and the broader implications for healthcare delivery. Employing a tertiary investigation approach, we review secondary studies to identify trends and synthesize findings, aiming to offer comprehensive insights and guide future research in mental health service delivery through social media engagement.

Link to Full Text

Share

COinS