Social media is now being used to model mental well-being, and for understanding health
outcomes. Computer scientists are now using quantitative techniques to predict the …

Suicide is among the 10 most common causes of death, as assessed by the World Health
Organization. For every death by suicide, an estimated 138 people's lives are meaningfully …

Powered by machine learning techniques, social media provides an unobtrusive lens into
individual behaviors, emotions, and psychological states. Recent research has successfully …

" Human-centered machine learning"(HCML) combines human insights and domain
expertise with data-driven predictions to answer societal questions. This area's inherent …

Many people appropriate social media and online communities in their pursuit of personal
health goals, such as healthy eating or increased physical activity. However, people struggle …

This introduction presents an overview of the key concepts discussed in the subsequent
chapters of this book. The book demonstrates the entanglements between cultures of human …

A growing body of research is combining social media data with machine learning to predict
mental health states of individuals. An implication of this research lies in informing evidence …

Eating disorders are complex mental disorders and responsible for the highest mortality rate
among mental illnesses. Recent studies reveal that user-generated content on social media …

Barriers to accessing mental health care leave the majority of people with mental illnesses
without professional care. Peer support has been shown to address gaps in care, and could …

Online health communities (OHCs) provide support across conditions; for weight loss, OHCs
offer support to foster positive behavior change. However, weight loss behaviors can also be …