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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

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

Depressive disorder is one of the most prevalent mental illnesses among the global population. However, traditional screening methods require exacting in-person interviews and may fail to provide immediate interventions. In this work, we…

Computers and Society · Computer Science 2020-10-30 Boyu Zhang , Anis Zaman , Rupam Acharyya , Ehsan Hoque , Vincent Silenzio , Henry Kautz

Depression is ranked as the largest contributor to global disability and is also a major reason for suicide. Still, many individuals suffering from forms of depression are not treated for various reasons. Previous studies have shown that…

Computation and Language · Computer Science 2024-10-30 Marcel Trotzek , Sven Koitka , Christoph M. Friedrich

Depression, a prominent contributor to global disability, affects a substantial portion of the population. Efforts to detect depression from social media texts have been prevalent, yet only a few works explored depression detection from…

Computer Vision and Pattern Recognition · Computer Science 2024-01-08 David Gimeno-Gómez , Ana-Maria Bucur , Adrian Cosma , Carlos-David Martínez-Hinarejos , Paolo Rosso

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

Depression is one of the most common mental disorders affecting an individual's personal and professional life. In this work, we investigated the possibility of utilizing social media posts to identify depression in individuals. To achieve…

Computation and Language · Computer Science 2024-05-14 Nandigramam Sai Harshit , Nilesh Kumar Sahu , Haroon R. Lone

Depression is debilitating, and not uncommon. Indeed, studies of excessive social media users show correlations with depression, ADHD, and other mental health concerns. Given that there is a large number of people with excessive social…

Computation and Language · Computer Science 2023-10-04 Dean Ninalga

Textual emotional intelligence is playing a ubiquitously important role in leveraging human emotions on social media platforms. Social media platforms are privileged with emotional content and are leveraged for various purposes like opinion…

Computation and Language · Computer Science 2023-01-10 Danish Muzafar , Furqan Yaqub Khan , Mubashir Qayoom

Depression is a growing issue in society's mental health that affects all areas of life and can even lead to suicide. Fortunately, prevention programs can be effective in its treatment. In this context, this work proposes an automatic…

Computation and Language · Computer Science 2023-07-03 Andrea Laguna , Oscar Araque

Social media has recently emerged as a premier method to disseminate information online. Through these online networks, tens of millions of individuals communicate their thoughts, personal experiences, and social ideals. We therefore…

Social and Information Networks · Computer Science 2016-07-26 Moin Nadeem

Depression has been the leading cause of mental-health illness worldwide. Major depressive disorder (MDD), is a common mental health disorder that affects both psychologically as well as physically which could lead to loss of lives. Due to…

Computer Vision and Pattern Recognition · Computer Science 2019-09-05 Anupama Ray , Siddharth Kumar , Rutvik Reddy , Prerana Mukherjee , Ritu Garg

With the acceleration of the pace of work and life, people have to face more and more pressure, which increases the possibility of suffering from depression. However, many patients may fail to get a timely diagnosis due to the serious…

Signal Processing · Electrical Eng. & Systems 2021-06-02 Lang He , Mingyue Niu , Prayag Tiwari , Pekka Marttinen , Rui Su , Jiewei Jiang , Chenguang Guo , Hongyu Wang , Songtao Ding , Zhongmin Wang , Wei Dang , Xiaoying Pan

With more than 300 million people depressed worldwide, depression is a global problem. Due to access barriers such as social stigma, cost, and treatment availability, 60% of mentally-ill adults do not receive any mental health services.…

Computer Vision and Pattern Recognition · Computer Science 2018-11-28 Albert Haque , Michelle Guo , Adam S Miner , Li Fei-Fei

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…

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

Suicide remains a leading cause of death in Western countries. As social media becomes central to daily life, digital footprints offer valuable insight into suicidal behavior. Focusing on individuals who attempted suicide while uploading…

Computation and Language · Computer Science 2025-12-05 Ilanit Sobol , Shir Lissak , Refael Tikochinski , Tal Nakash , Anat Brunstein Klomek , Eyal Fruchter , Roi Reichart

Depression is a common disease worldwide. It is difficult to diagnose and continues to be underdiagnosed. Because depressed patients constantly share their symptoms, major life events, and treatments on social media, researchers are turning…

Computation and Language · Computer Science 2025-10-27 Wenli Zhang , Jiaheng Xie , Zhu Zhang , Xiang Liu

Depression is the leading cause of disability worldwide. Initial efforts to detect depression signals from social media posts have shown promising results. Given the high internal validity, results from such analyses are potentially…

Social and Information Networks · Computer Science 2020-06-16 Lucia Lushi Chen , Walid Magdy , Heather Whalley , Maria Wolters

Depression and anxiety are psychiatric disorders that are observed in many areas of everyday life. For example, these disorders manifest themselves somewhat frequently in texts written by nondiagnosed users in social media. However,…

Computation and Language · Computer Science 2020-11-11 David Owen , Jose Camacho Collados , Luis Espinosa-Anke
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