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 …

Highlights•Mental illness is underdiagnosed but observable in online contexts.•
Characteristic language use patterns associated with depression have been identified and …

Mental illness is a serious and widespread health challenge in our society today. Tens of
millions of people each year suffer from depression and only a fraction receives adequate …

The social media platforms are considered an ecosystem of social sensors where each
social media platform user is treated as a social sensor cloud. To overcome the limitations of …

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 …

Background Mental illness is quickly becoming one of the most prevalent public health
problems worldwide. Social network platforms, where users can express their emotions …

Depression is a major public health concern in the US and globally. While successful early
identification and treatment can lead to many positive health and behavioral outcomes …

Background: Detection of depression gained prominence soon after this troublesome
disease emerged as a serious public health concern worldwide. Objective: This systematic …

This paper presents a critical assessment analysis on mental health detection in Online
Social Networks (OSNs) based on the data sources, machine learning techniques, and …

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 …