Background: Suicide, a leading cause of death and a major public health concern, became
an even more pressing matter since the emergence of social media two decades ago and …

Mental illness leading to suicide attempts is prevalent in a large portion of the population
especially in low and middle-income nations. There remains a significant social stigma …

Suicide, a leading cause of death, is a complex and a hard-to-predict human tragedy. In this
article, we introduce a comprehensive outlook on the emerging movement to integrate …

Abstract Objective Post-9/11 US veterans and servicemembers are at increased risk for
suicide, indicating an important need to identify and mitigate suicidal ideation and behaviors …

Accurately predicting the number of severe and critical COVID-19 patients is critical for the
treatment and control of the epidemic. Social media data have gained great popularity and …

Objectives Vaccination is widely regarded as the paramount approach for safeguarding
individuals against the repercussions of COVID-19. Nonetheless, concerns surrounding the …

In this shared task, we accept the challenge of constructing models to identify Twitter users
who attempted suicide based on their tweets 30 and 182 days before the adverse event's …

Online mental health service (OMHS) has been named as the best psychological assistance
measure during the COVID-19 pandemic. An interpretable, accurate, and early prediction for …

In this paper, we address the question of whether AI should be used for suicide prevention
on social media data. We focus on algorithms that can identify persons with suicidal ideation …

The suicidal death rate is growing rapidly. Depression and stress levels among the people
have increased significantly, which is considered to be a risk factor for suicidal thoughts …