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 a critical issue in modern society. Early detection and prevention of suicide
attempts should be addressed to save people's life. Current suicidal ideation detection (SID) …

The surge in internet use to express personal thoughts and beliefs makes it increasingly
feasible for the social NLP research community to find and validate associations between …

Investigations of facial analysis (FA) technologies-such as facial detection and facial
recognition-have been central to discussions about Artificial Intelligence's (AI) impact on …

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

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

Data on social media contain a wealth of user information. Big data research of social media
data may also support standard surveillance approaches and provide decision-makers with …

The automatic identification of harmful content online is of major concern for social media
platforms, policymakers, and society. Researchers have studied textual, visual, and audio …

Mental health is a critical issue in modern society, and mental disorders could sometimes
turn to suicidal ideation without effective treatment. Early detection of mental disorders and …

Detecting depression is a key public health challenge, as almost 12% of all disabilities can
be attributed to depression. Computational models for depression detection must prove not …