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Related papers: Quantifying the Suicidal Tendency on Social Media:…

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Social media platforms have become important sources for identifying suicide risk, but automated detection systems face multiple challenges including severe class imbalance, temporal complexity in posting patterns, and the dual nature of…

Machine Learning · Computer Science 2025-10-24 Chang Yang , Ziyi Wang , Wangfeng Tan , Zhiting Tan , Changrui Ji , Zhiming Zhou

Early detection of depression from social media data offers a valuable opportunity for timely intervention. However, this task poses significant challenges, requiring both professional medical knowledge and the development of accurate and…

Computation and Language · Computer Science 2025-03-20 Xiangyong Chen , Xiaochuan Lin

Predicting mental health from smartphone and social media data on a longitudinal basis has recently attracted great interest, with very promising results being reported across many studies. Such approaches have the potential to…

Computers and Society · Computer Science 2018-07-20 Adam Tsakalidis , Maria Liakata , Theo Damoulas , Alexandra I. Cristea

Identifying physiological and behavioral markers for mental health conditions is a longstanding challenge in psychiatry. Depression and suicidal ideation, in particular, lack objective biomarkers, with screening and diagnosis primarily…

Quarantine is a widely-adopted measure during health crises caused by highly-contagious diseases like COVID-19, yet it poses critical challenges to public mental health. Given this context, emotional disclosure on social media in the form…

Human-Computer Interaction · Computer Science 2024-01-17 Yue Deng , Changyang He , Bo Li

Due to the worldwide accessibility to the Internet along with the continuous advances in mobile technologies, physical and digital worlds have become completely blended, and the proliferation of social media platforms has taken a leading…

Computation and Language · Computer Science 2022-02-08 Esteban A. Ríssola , Mohammad Aliannejadi , Fabio Crestani

Anxiety and depression are the most common mental health issues worldwide, affecting a non-negligible part of the population. Accordingly, stakeholders, including governments' health systems, are developing new strategies to promote early…

Artificial Intelligence · Computer Science 2024-12-24 Francisco de Arriba-Pérez , Silvia García-Méndez

Users suffering from mental health conditions often turn to online resources for support, including specialized online support communities or general communities such as Twitter and Reddit. In this work, we present a neural framework for…

Computation and Language · Computer Science 2017-09-07 Andrew Yates , Arman Cohan , Nazli Goharian

Mental illness affects a significant portion of the worldwide population. Online mental health forums can provide a supportive environment for those afflicted and also generate a large amount of data which can be mined to predict mental…

Computation and Language · Computer Science 2019-07-12 Derek Howard , Marta Maslej , Justin Lee , Jacob Ritchie , Geoffrey Woollard , Leon French

Suicide remains one of the leading causes of death worldwide, particularly among young people, and psychological stressors are consistently identified as proximal drivers of suicidal ideation and behavior. In recent years, social media…

Social and Information Networks · Computer Science 2026-03-30 Ali Sahandi , Mahsa Pahlavan Yousefkhani , Mehrshad Eisaei , Hossein Momeni , Ramin Mousa

More than one million people commit suicide every year worldwide. The costs of daily cares, social stigma and treatment issues are still hard barriers to overcome in mental health. Most symptoms of mental disorders are related to the…

Emotion artificial intelligence is a field of study that focuses on figuring out how to recognize emotions, especially in the area of text mining. Today is the age of social media which has opened a door for us to share our individual…

Human-Computer Interaction · Computer Science 2024-12-10 Sultan Ahmed , Salman Rakin , Mohammad Washeef Ibn Waliur , Nuzhat Binte Islam , Billal Hossain , Md. Mostofa Akbar

The detection of suicide risk in social media is a critical task with potential life-saving implications. This paper presents a study on leveraging state-of-the-art natural language processing solutions for identifying suicide risk in…

Computation and Language · Computer Science 2024-10-14 Jakub Pokrywka , Jeremi I. Kaczmarek , Edward J. Gorzelańczyk

Emotions are integral to human social interactions, with diverse responses elicited by various situational contexts. Particularly, the prevalence of negative emotional states has been correlated with negative outcomes for mental health,…

Computation and Language · Computer Science 2024-01-10 Abu Bakar Siddiqur Rahman , Hoang-Thang Ta , Lotfollah Najjar , Azad Azadmanesh , Ali Saffet Gönül

Addiction to internet-based social media has increasingly emerged as a critical social problem, especially among young adults and teenagers. Based on multiple research studies, excessive usage of social media may have detrimental…

Physics and Society · Physics 2024-12-02 Dibyajyoti Mallick , Priya Chakraborty , Sayantari Ghosh

Along with factors such as cancer, blood pressure, street accidents and stroke, suicide has been one of Iran main causes of death. One of the main reasons for suicide is psychological stressors. Identifying psychological stressors in an at…

Computation and Language · Computer Science 2024-03-26 Mohammad Ali Dadgostarnia , Ramin Mousa , Saba Hesaraki

Mental health disorders are a global crisis. While various datasets exist for detecting such disorders, there remains a critical gap in identifying individuals actively seeking help. This paper introduces a novel dataset, M-Help,…

Computation and Language · Computer Science 2025-08-22 MSVPJ Sathvik , Zuhair Hasan Shaik , Vivek Gupta

Music, an integral part of our lives, which is not only a source of entertainment but plays an important role in mental well-being by impacting moods, emotions and other affective states. Music preferences and listening strategies have been…

Audio and Speech Processing · Electrical Eng. & Systems 2020-09-30 Aayush Surana , Yash Goyal , Vinoo Alluri

Stress is a nigh-universal human experience, particularly in the online world. While stress can be a motivator, too much stress is associated with many negative health outcomes, making its identification useful across a range of domains.…

Computation and Language · Computer Science 2019-11-04 Elsbeth Turcan , Kathleen McKeown

Digital phenotyping offers a novel and cost-efficient approach for managing depression and anxiety. Previous studies, often limited to small-to-medium or specific populations, may lack generalizability. We conducted a cross-sectional…