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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,…

计算与语言 · 计算机科学 2025-08-22 MSVPJ Sathvik , Zuhair Hasan Shaik , Vivek Gupta

Mental disorders such as depression and anxiety have been increasing at alarming rates in the worldwide population. Notably, the major depressive disorder has become a common problem among higher education students, aggravated, and maybe…

计算与语言 · 计算机科学 2020-03-31 Paulo Mann , Aline Paes , Elton H. Matsushima

In the last decade drug overdose deaths reached staggering proportions in the US. Besides the raw yearly deaths count that is worrisome per se, an alarming picture comes from the steep acceleration of such rate that increased by 21% from…

计算机与社会 · 计算机科学 2019-04-02 Duilio Balsamo , Paolo Bajardi , André Panisson

Early diagnosis of mental disorders and intervention can facilitate the prevention of severe injuries and the improvement of treatment results. Using social media and pre-trained language models, this study explores how user-generated data…

信息检索 · 计算机科学 2024-03-01 Alireza Pourkeyvan , Ramin Safa , Ali Sorourkhah

The increasing frequency of suicidal thoughts highlights the importance of early detection and intervention. Social media platforms, where users often share personal experiences and seek help, could be utilized to identify individuals at…

计算与语言 · 计算机科学 2024-11-04 Vy Nguyen , Chau Pham

In the last decade, the United States has lost more than 500,000 people from an overdose involving prescription and illicit opioids making it a national public health emergency (USDHHS, 2017). Medical practitioners require robust and timely…

The United States is currently experiencing an unprecedented opioid crisis, and opioid overdose has become a leading cause of injury and death. Effective opioid addiction recovery calls for not only medical treatments, but also behavioral…

社会与信息网络 · 计算机科学 2019-12-04 Zhou Yang , Spencer Bradshaw , Rattikorn Hewett , Fang Jin

Depression is the most common mental health disorder, and its prevalence increased during the COVID-19 pandemic. As one of the most extensively researched psychological conditions, recent research has increasingly focused on leveraging…

The scientific method drives improvements in public health, but a strategy of obstructionism has impeded scientists from gathering even a minimal amount of information to address America's gun violence epidemic. We argue that in spite of a…

计算机与社会 · 计算机科学 2016-11-04 John W. Ayers , Benjamin M. Althouse , Eric C. Leas , Ted Alcorn , Mark Dredze

Social Media is a cyber-security risk for every business. What do people share on the Internet? Almost everything about oneself is shared: friendship, demographics, family, activities, and work-related information. This could become a…

社会与信息网络 · 计算机科学 2021-03-09 Guerrino Mazzarolo , Juan Carlos Fernandez Casas , Anca Delia Jurcut , Nhien-AnLe-Khac

Social media channels, such as Facebook, Twitter, and Instagram, have altered our world forever. People are now increasingly connected than ever and reveal a sort of digital persona. Although social media certainly has several remarkable…

社会与信息网络 · 计算机科学 2020-08-26 Hatoon S. AlSagri , Mourad Ykhlef

Social media platforms like Facebook and Twitter permit experiments to be performed at minimal cost on populations of a size that scientists might previously have dreamt about. For instance, one experiment on Facebook involved over 60…

计算机与社会 · 计算机科学 2019-08-27 Toby Walsh

Though suicide is a major public health problem in the US, machine learning methods are not commonly used to predict an individual's risk of attempting/committing suicide. In the present work, starting with an anonymized collection of…

机器学习 · 统计学 2017-12-04 Harish S. Bhat , Sidra J. Goldman-Mellor

In this work, we provide an extensive part-of-speech analysis of the discourse of social media users with depression. Research in psychology revealed that depressed users tend to be self-focused, more preoccupied with themselves and…

计算与语言 · 计算机科学 2021-08-03 Ana-Maria Bucur , Ioana R. Podină , Liviu P. Dinu

The debate on whether social media has a net positive or negative effect on youth is ongoing. Therefore, we conducted a thematic analysis on 2,061 posts made by 1,038 adolescents aged 15-17 on an online peer-support platform to investigate…

人机交互 · 计算机科学 2025-04-22 Abdulmalik Alluhidan , Mamtaj Akter , Ashwaq Alsoubai , Jinkyung Park , Pamela Wisniewski

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…

计算与语言 · 计算机科学 2017-09-07 Andrew Yates , Arman Cohan , Nazli Goharian

Social media has become a valuable resource for the study of suicidal ideation and the assessment of suicide risk. Among social media platforms, Reddit has emerged as the most promising one due to its anonymity and its focus on topic-based…

计算与语言 · 计算机科学 2021-06-22 Chenghao Yang , Yudong Zhang , Smaranda Muresan

Young people are increasingly exposed to adverse effects of data-driven profiling, recommending, and manipulation on social media platforms, most of them without adequate understanding of the mechanisms that drive these platforms. In the…

计算机与社会 · 计算机科学 2025-01-29 Henriikka Vartiainen , Nicolas Pope , Juho Kahila , Sonsoles López-Pernas , Matti Tedre

Social media usage is often cited as a potential driver behind the rising suicide rates. However, distinguishing the causal effect - whether social media increases the risk of suicide - from reverse causality, where individuals already at…

综合经济学 · 经济学 2024-12-05 Alexis Du , Thomas Renault

Social media continues to have an impact on the trajectory of humanity. However, its introduction has also weaponized keyboards, allowing the abusive language normally reserved for in-person bullying to jump onto the screen, i.e.,…

机器学习 · 计算机科学 2024-09-20 Muhammad Arslan , Manuel Sandoval Madrigal , Mohammed Abuhamad , Deborah L. Hall , Yasin N. Silva