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 leading cause of death that defies prediction and challenges prevention efforts
worldwide. Artificial intelligence (AI) and machine learning (ML) have emerged as a means …

This paper presents the second edition of the international shared task on multilingual hope
speech detection, HOPE 2024, conducted as part of the IberLEF workshop during the …

Over the past few years, systems have been developed to control online content and
eliminate abusive, offensive or hate speech content. However, people in power sometimes …

New and emerging forms of data, including posts harvested from social media sites such as
Twitter, have become part of the sociologist's data diet. In particular, some researchers see …

History of mental illness is a major factor behind suicide risk and ideation. However research
efforts toward characterizing and forecasting this risk is limited due to the paucity of …

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 …

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 …

Abstract Machine learning analysis of social media data represents a promising way to
capture longitudinal environmental influences contributing to individual risk for suicidal …