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

Among mental health diseases, depression is one of the most severe, as it often leads to
suicide; due to this, it is important to identify and summarize existing evidence concerning …

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 …

Stress and depression detection on social media aim at the analysis of stress and
identification of depression tendency from social media posts, which provide assistance for …

The number of people affected by mental illness is on the increase and with it the burden on
health and social care use, as well as the loss of both productivity and quality-adjusted life …

Advances in large language models (LLMs) have empowered a variety of applications.
However, there is still a significant gap in research when it comes to understanding and …

In recent years, online social networking has revolutionized interpersonal communication.
The newer research on language analysis in social media has been increasingly focusing …

Introduction: Benefits from mental health early interventions may not be sustained over time,
and longer-term intervention programs may be required to maintain early clinical gains …

Mental state assessment by analysing user-generated content is a field that has recently
attracted considerable attention. Today, many people are increasingly utilising online social …