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 …

Informatics paradigms for brain and mental health research have seen significant advances
in recent years. These developments can largely be attributed to the emergence of new …

As an integral part of people's daily lives, social media is becoming a rich source for
automatic mental health analysis. As traditional discriminative methods bear poor …

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

Understanding emotion expressed in language has a wide range of applications, from
building empathetic chatbots to detecting harmful online behavior. Advancement in this area …

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 …

Social media data has become crucial to the advancement of scientific understanding.
However, even though it has become ubiquitous, just collecting large-scale social media …

Recent advancements in artificial intelligence, particularly with the emergence of large
language models (LLMs), have sparked a rethinking of artificial general intelligence …

The latest large language models (LLMs) such as ChatGPT, exhibit strong capabilities in
automated mental health analysis. However, existing relevant studies bear several …

Depression is viewed as the largest contributor to global disability and a major reason for
suicide. It has an impact on the language usage reflected in the written text. The key …