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If people with high risk of suicide can be identified through social media like microblog, it is possible to implement an active intervention system to save their lives. Based on this motivation, the current study administered the Suicide…

Social and Information Networks · Computer Science 2014-11-05 Lei Zhang , Xiaolei Huang , Tianli Liu , Zhenxiang Chen , Tingshao Zhu

Background: Suicide issue is of great concern in China. Social media provides an active approach to understanding suicide individuals in terms of their behavior and language use. Aims: This study investigates how suicide Microblog users in…

Social and Information Networks · Computer Science 2014-07-03 Li Guan , Bibo Hao , Tingshao Zhu

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…

Computation and Language · Computer Science 2022-01-26 Asma Abdulsalam , Areej Alhothali

Suicide is a global public health problem. Early detection of individual suicide risk plays a key role in suicide prevention. In this paper, we propose to look into individual suicide risk through time series analysis of personal linguistic…

Social and Information Networks · Computer Science 2015-12-01 Aiqi Zhang , Ang Li , Tingshao Zhu

Suicide is a critical issue in modern society. Early detection and prevention of suicide attempts should be addressed to save people's life. Current suicidal ideation detection methods include clinical methods based on the interaction…

Computers and Society · Computer Science 2021-02-02 Shaoxiong Ji , Shirui Pan , Xue Li , Erik Cambria , Guodong Long , Zi Huang

Suicide is recognized as one of the most serious concerns in the modern society. Suicide causes tragedy that affects countries, communities, and families. There are many factors that lead to suicidal ideations. Early detection of suicidal…

Human-Computer Interaction · Computer Science 2024-01-03 Nelly Elsayed , Zag ElSayed , Murat Ozer

For preventing youth suicide, social media platforms have received much attention from researchers. A few researches apply machine learning, or deep learning-based text classification approaches to classify social media posts containing…

Computation and Language · Computer Science 2022-06-20 Siqu Long , Rina Cabral , Josiah Poon , Soyeon Caren Han

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

Weibo and other popular Chinese microblogging sites are well known for exercising internal censorship, to comply with Chinese government requirements. This research seeks to quantify the mechanisms of this censorship: how fast and how…

Computers and Society · Computer Science 2013-07-11 Tao Zhu , David Phipps , Adam Pridgen , Jedidiah R. Crandall , Dan S. Wallach

Suicidal ideation detection is crucial for preventing suicides, a leading cause of death worldwide. Many individuals express suicidal thoughts on social media, offering a vital opportunity for early detection through advanced machine…

Computation and Language · Computer Science 2025-11-14 Mohaiminul Islam Bhuiyan , Nur Shazwani Kamarudin , Nur Hafieza Ismail

Widespread Chinese social media applications such as Weibo are widely known for monitoring and deleting posts to conform to Chinese government requirements. In this paper, we focus on analyzing a dataset of censored and uncensored posts in…

Social and Information Networks · Computer Science 2019-07-04 Meisam Navaki Arefi , Rajkumar Pandi , Michael Carl Tschantz , Jedidiah R. Crandall , King-wa Fu , Dahlia Qiu Shi , Miao Sha

Suicidal ideation detection from social media is an evolving research with great challenges. Many of the people who have the tendency to suicide share their thoughts and opinions through social media platforms. As part of many researches it…

Information Retrieval · Computer Science 2021-12-21 Shini Renjith , Annie Abraham , Surya B. Jyothi , Lekshmi Chandran , Jincy Thomson

Research shows that exposure to suicide-related news media content is associated with suicide rates, with some content characteristics likely having harmful and others potentially protective effects. Although good evidence exists for a few…

Computation and Language · Computer Science 2022-06-29 Hannah Metzler , Hubert Baginski , Thomas Niederkrotenthaler , David Garcia

Sina Weibo, China's most popular microblogging platform, is currently used by over $500M$ users and is considered to be a proxy of Chinese social life. In this study, we contrast the discussions occurring on Sina Weibo and on Chinese…

Social and Information Networks · Computer Science 2016-04-13 Qian Zhang , Bruno Gonçalves

The World Health Organization (WHO) estimated that approximately 1.4 million individuals worldwide died by suicide in 2022. This figure indicates that one person died by suicide every 20 s during the year. Globally, suicide is the…

Computers and Society · Computer Science 2024-02-13 Yasin Dus , Georgiy Nefedov

Psychological support hotlines are an effective suicide prevention measure that typically relies on professionals using suicide risk assessment scales to predict individual risk scores. However, the accuracy of scale-based predictive…

Machine Learning · Computer Science 2024-08-30 Changwei Song , Qing Zhao , Jianqiang Li , Yining Chen , Yongsheng Tong , Guanghui Fu

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…

Computation and Language · Computer Science 2024-11-04 Vy Nguyen , Chau Pham

Despite detection of suicidal ideation on social media has made great progress in recent years, people's implicitly and anti-real contrarily expressed posts still remain as an obstacle, constraining the detectors to acquire higher…

Computation and Language · Computer Science 2019-10-29 Lei Cao , Huijun Zhang , Ling Feng , Zihan Wei , Xin Wang , Ningyun Li , Xiaohao He

We present measurements and analysis of censorship on Weibo, a popular microblogging site in China. Since we were limited in the rate at which we could download posts, we identified users likely to participate in sensitive topics and…

Information Retrieval · Computer Science 2012-11-28 Tao Zhu , David Phipps , Adam Pridgen , Jedidiah R. Crandall , Dan S. Wallach

Suicide is an important but often misunderstood problem, one that researchers are now seeking to better understand through social media. Due in large part to the fuzzy nature of what constitutes suicidal risks, most supervised approaches…

Machine Learning · Computer Science 2017-02-01 Tong Liu , Qijin Cheng , Christopher M. Homan , Vincent M. B. Silenzio
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