Social Media Data for Mental Health

This lecture explores the potential of employing social media data to improve mental health by harnessing the insights and avoiding the pitfalls. It covers topics such as predicting depression via social media, discovering shifts to suicidal ideation, and characterizing and predicting postpartum depression. The lecture delves into linguistic patterns and social media-derived markers to predict postpartum changes and measure levels of acute stress in college campuses. It also discusses the challenges and methodologies of using social media data for suicide risk screening and forecasting nationwide suicide rates.