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相关论文: Social Media for Mental Health: Data, Methods, and…

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Data-driven methods for mental health treatment and surveillance have become a major focus in computational science research in the last decade. However, progress in the domain, in terms of both medical understanding and system performance,…

计算与语言 · 计算机科学 2021-04-27 Keith Harrigian , Carlos Aguirre , Mark Dredze

As social media platforms are increasingly adopted, the data the data people leave behind is shining new light into our understanding of phenomena, ranging from socio-economic-political events to the spread of infectious diseases. This…

计算机与社会 · 计算机科学 2025-01-13 Munmun De Choudhury

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…

信息检索 · 计算机科学 2023-01-26 Ramin Safa , S. A. Edalatpanah , Ali Sorourkhah

With ubiquity of social media platforms, millions of people are sharing their online persona by expressing their thoughts, moods, emotions, feelings, and even their daily struggles with mental health issues voluntarily and publicly on…

Social media data has been increasingly used to study biomedical and health-related phenomena. From cohort level discussions of a condition to planetary level analyses of sentiment, social media has provided scientists with unprecedented…

计算机与社会 · 计算机科学 2020-09-17 Rion Brattig Correia , Ian B. Wood , Johan Bollen , Luis M. Rocha

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

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…

计算与语言 · 计算机科学 2025-08-06 Yeyubei Zhang , Zhongyan Wang , Zhanyi Ding , Yexin Tian , Jianglai Dai , Xiaorui Shen , Yunchong Liu , Yuchen Cao

The increasing prevalence of mental disorders globally highlights the urgent need for effective digital screening methods that can be used in multilingual contexts. Most existing studies, however, focus on English data, overlooking critical…

计算与语言 · 计算机科学 2026-01-27 Ana-Maria Bucur , Marcos Zampieri , Tharindu Ranasinghe , Fabio Crestani

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…

社会与信息网络 · 计算机科学 2022-08-30 Muskan Garg

Mental illnesses are one of the most prevalent public health problems worldwide, which negatively influence people's lives and society's health. With the increasing popularity of social media, there has been a growing research interest in…

计算与语言 · 计算机科学 2023-04-20 Tianlin Zhang , Kailai Yang , Shaoxiong Ji , Sophia Ananiadou

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…

计算与语言 · 计算机科学 2022-02-08 Esteban A. Ríssola , Mohammad Aliannejadi , Fabio Crestani

Online social media provides a channel for monitoring people's social behaviors and their mental distress. Due to the restrictions imposed by COVID-19 people are increasingly using online social networks to express their feelings.…

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 explosion of data on the internet is a direct corollary of the social media platform. With petabytes of data being generated by end users, the researchers have access to unprecedented amount of data (Big Data). Such data provides an…

计算机与社会 · 计算机科学 2019-02-06 Adil E. Rajput , Samara M. Ahmed

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…

机器学习 · 计算机科学 2025-02-18 Yuchen Cao , Jianglai Dai , Zhongyan Wang , Yeyubei Zhang , Xiaorui Shen , Yunchong Liu , Yexin Tian

Social media data has become a vital resource for studying mental health, offering real-time insights into thoughts, emotions, and behaviors that traditional methods often miss. Progress in this area has been facilitated by benchmark…

计算与语言 · 计算机科学 2025-11-27 Saad Mankarious , Ayah Zirikly , Daniel Wiechmann , Elma Kerz , Edward Kempa , Yu Qiao

Social media is one of the most highly sought resources for analyzing characteristics of the language by its users. In particular, many researchers utilized various linguistic features of mental health problems from social media. However,…

计算与语言 · 计算机科学 2023-06-06 Hoyun Song , Jisu Shin , Huije Lee , Jong C. Park

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 have transformed traditional communication methods by allowing users worldwide to communicate instantly, openly, and frequently. People use social media to express their opinion and share their personal stories and…

计算与语言 · 计算机科学 2022-01-26 Asma Abdulsalam , Areej Alhothali

In the light of increasing clues on social media impact on self-harm and suicide risks, there is still no evidence on who are and how factually engaged in suicide-related online behaviors. This study reports new findings of high-performance…

计算机与社会 · 计算机科学 2024-01-17 Anastasia Peshkovskaya , Yu-Tao Xiang
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