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The COVID-19 pandemic has escalated mental health crises worldwide, with social isolation and economic instability contributing to a rise in suicidal behavior. Suicide can result from social factors such as shame, abuse, abandonment, and…

Computation and Language · Computer Science 2024-01-02 Van Minh Nguyen , Nasheen Nur , William Stern , Thomas Mercer , Chiradeep Sen , Siddhartha Bhattacharyya , Victor Tumbiolo , Seng Jhing Goh

Early detection of suicidal ideation in depressed individuals can allow for adequate medical attention and support, which in many cases is life-saving. Recent NLP research focuses on classifying, from a given piece of text, if an individual…

Machine Learning · Computer Science 2021-06-23 Ayaan Haque , Viraaj Reddi , Tyler Giallanza

In the social media, users frequently express personal emotions, a subset of which may indicate potential suicidal tendencies. The implicit and varied forms of expression in internet language complicate accurate and rapid identification of…

Computation and Language · Computer Science 2024-04-22 Hongzhi Qi , Hanfei Liu , Jianqiang Li , Qing Zhao , Wei Zhai , Dan Luo , Tian Yu He , Shuo Liu , Bing Xiang Yang , Guanghui Fu

Mental disorders such as depression and suicidal ideation are hazardous, affecting more than 300 million people over the world. However, on social media, mental disorder symptoms can be observed, and automated approaches are increasingly…

Information Retrieval · Computer Science 2023-01-26 Ramin Safa , S. A. Edalatpanah , Ali Sorourkhah

In recent years, cognitive and mental health (CMH) disorders have increasingly become an important challenge for global public health, especially the suicide problem caused by multiple factors such as social competition, economic pressure…

Computers and Society · Computer Science 2025-07-17 Shouwen Zheng , Yingzhi Tao , Taiqi Zhou

Depression is a major global public health challenge and its early identification is crucial. Social media data provides a new perspective for depression detection, but existing methods face limitations such as insufficient accuracy,…

Artificial Intelligence · Computer Science 2026-01-12 Yukun Yang

The most common mental disorders experienced by a person in daily life are depression and anxiety. Social stigma makes people with depression and anxiety neglected by their surroundings. Therefore, they turn to social media like Twitter for…

Computation and Language · Computer Science 2023-01-12 Kuncahyo Setyo Nugroho , Ismail Akbar , Affi Nizar Suksmawati , Istiadi

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…

Social and Information Networks · Computer Science 2020-08-26 Hatoon S. AlSagri , Mourad Ykhlef

Cyberbullying is a significant concern intricately linked to technology that can find resolution through technological means. Despite its prevalence, technology also provides solutions to mitigate cyberbullying. To address growing concerns…

Machine Learning · Computer Science 2024-06-27 Sylvia Worlali Azumah , Nelly Elsayed , Zag ElSayed , Murat Ozer , Amanda La Guardia

On social media, users often express their personal feelings, which may exhibit cognitive distortions or even suicidal tendencies on certain specific topics. Early recognition of these signs is critical for effective psychological…

Computation and Language · Computer Science 2024-06-11 Hongzhi Qi , Qing Zhao , Jianqiang Li , Changwei Song , Wei Zhai , Dan Luo , Shuo Liu , Yi Jing Yu , Fan Wang , Huijing Zou , Bing Xiang Yang , Guanghui Fu

The rise of social media has significantly increased the prevalence of cyberbullying (CB), posing serious risks to both mental and physical well-being. Effective detection systems are essential for mitigating its impact. While several…

Machine Learning · Computer Science 2025-04-16 Tabia Tanzin Prama , Jannatul Ferdaws Amrin , Md. Mushfique Anwar , Iqbal H. Sarker

Preventing Veteran suicide is a national priority. The US Department of Veterans Affairs (VA) collects, analyzes, and publishes data to inform suicide prevention strategies. Current approaches for detecting suicidal ideation mostly rely on…

Computers and Society · Computer Science 2020-09-29 Vaibhav Sourirajan , Anas Belouali , Mary Ann Dutton , Matthew Reinhard , Jyotishman Pathak

Social media has become an important source for understanding mental health, providing researchers with a way to detect conditions like depression from user-generated posts. This tutorial provides practical guidance to address common…

Computation and Language · Computer Science 2025-08-06 Yeyubei Zhang , Zhongyan Wang , Zhanyi Ding , Yexin Tian , Jianglai Dai , Xiaorui Shen , Yunchong Liu , Yuchen Cao

Amid lockdown period more people express their feelings over social media platforms due to closed third-place and academic researchers have witnessed strong associations between the mental healthcare and social media posts. The stress for a…

Social and Information Networks · Computer Science 2022-08-30 Muskan Garg

Suicidal ideation detection is a vital research area that holds great potential for improving mental health support systems. However, the sensitivity surrounding suicide-related data poses challenges in accessing large-scale, annotated…

Computation and Language · Computer Science 2024-02-06 Hamideh Ghanadian , Isar Nejadgholi , Hussein Al Osman

Online social media platforms have recently become integral to our society and daily routines. Every day, users worldwide spend a couple of hours on such platforms, expressing their sentiments and emotional state and contacting each other.…

Machine Learning · Computer Science 2024-04-22 Mohamed A. Allayla , Serkan Ayvaz

The global increase in mental illness requires innovative detection methods for early intervention. Social media provides a valuable platform to identify mental illness through user-generated content. This systematic review examines machine…

Machine Learning · Computer Science 2025-02-18 Yuchen Cao , Jianglai Dai , Zhongyan Wang , Yeyubei Zhang , Xiaorui Shen , Yunchong Liu , Yexin Tian

The increasing growth of social media provides us with an instant opportunity to be informed of the opinions of a large number of politically active individuals in real-time. We can get an overall idea of the ideologies of these individuals…

Human-Computer Interaction · Computer Science 2024-11-08 Sultan Ahmed , Salman Rakin , Khadija Urmi , Chandan Kumar Nag , Md. Mostofa Akbar

Social media cyberbullying has a detrimental effect on human life. As online social networking grows daily, the amount of hate speech also increases. Such terrible content can cause depression and actions related to suicide. This paper…

Machine Learning · Computer Science 2023-08-22 Mst Shapna Akter , Hossain Shahriar , Alfredo Cuzzocrea

Suicide rates have risen worldwide in recent years, underscoring the urgent need for proactive prevention strategies. Social media provides valuable signals, as many at-risk individuals - who often avoid formal help due to stigma - choose…

Computation and Language · Computer Science 2025-10-10 Yukai Song , Pengfei Zhou , César Escobar-Viera , Candice Biernesser , Wei Huang , Jingtong Hu