MoodMapper: Identify depression levels of students’ through social media activities

Abstract

College students struggle with depression, which affects their academic achievement, well-being, and quality of life. Stigma, restricted possibilities for mental health care, and difficulty self-reporting symptoms make diagnosing depression among college students challenging, despite its prevalence. Innovative strategies are needed to identify and support at-risk persons because traditional diagnostic methods often fail. To fill this gap, the author uses social media data to provide a technology-based depression diagnosis for college students.