Mental illness is highly prevalent nowadays, constituting a major cause of distress in
people's life with impact on society's health and well-being. Mental illness is a complex multi …

Psychological health, ie, citizens' emotional and mental well-being, is one of the most
neglected public health issues. Depression is the most common mental health issue and the …

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 …

Mental illnesses are one of the most prevalent public health problems worldwide, which
negatively influence people's lives and society's health. With the increasing popularity of …

A large number of individuals are suffering from suicidal ideation in the world. There are a
number of causes behind why an individual might suffer from suicidal ideation. As the most …

Background Uncertainty surrounds the ethical and legal implications of algorithmic and data-
driven technologies in the mental health context, including technologies characterized as …

Suicide causes approximately one death every 40 s. Suicidal ideation is the first stage in the
risk scale, being a potential gate for suicide prevention. Machine learning emerged as a …

The rising ubiquity of social media presents a platform for individuals to express suicide
ideation, instead of traditional, formal clinical settings. While neural methods for assessing …

Previous research found a strong relation between the users' psychological disorders and
their language use in social media posts in terms of vocabulary selection, emotional …

Applied machine learning (ML) has not yet coalesced on standard practices for research
ethics. For ML that predicts mental illness using social media data, ambiguous ethical …