Literature DB >> 29293069

A Study of Users with Suicidal Ideation on Sina Weibo.

Zheng Wang1, Guang Yu1, Xianyun Tian1, Jingyun Tang1, Xiangbin Yan1.   

Abstract

BACKGROUND: Suicide is a leading cause of death in China, and so suicide intervention on social media is an important issue in the field of public health. Sina Weibo (Weibo) is an emerging surveillance tool that may provide online assistance for users at the risk of suicide.
MATERIALS AND METHODS: Keyword-based methods and supervised classifiers were employed to conduct this research. A control group was established to explore the differences between Weibo users with suicidal ideation (USI) and the general population.
RESULTS: A total of 114 USI were detected from 1 million active Weibo users. By studying the negative postings of these USI, disclosure of the reasons for their bad moods was the most common theme. The emotions of USI tend to be particularly down between 05:00 pm and midnight. Use of the first-person pronoun by Weibo USI is significantly frequent.
CONCLUSIONS: Our findings may help to identify individuals with suicidal ideation who are not identified by the traditional clinical approach. Consequently, detecting and helping individuals who may be at risk of committing suicide may become more efficient.

Entities:  

Keywords:  Sina Weibo; negative postings; social media; suicide; telemedicine; users with suicidal ideation

Mesh:

Year:  2018        PMID: 29293069     DOI: 10.1089/tmj.2017.0189

Source DB:  PubMed          Journal:  Telemed J E Health        ISSN: 1530-5627            Impact factor:   3.536


  6 in total

1.  Characterizing Depression Issues on Sina Weibo.

Authors:  Xianyun Tian; Philip Batterham; Shuang Song; Xiaoxu Yao; Guang Yu
Journal:  Int J Environ Res Public Health       Date:  2018-04-16       Impact factor: 3.390

2.  Mining the Characteristics of COVID-19 Patients in China: Analysis of Social Media Posts.

Authors:  Chunmei Huang; Xinjie Xu; Yuyang Cai; Qinmin Ge; Guangwang Zeng; Xiaopan Li; Weide Zhang; Chen Ji; Ling Yang
Journal:  J Med Internet Res       Date:  2020-05-17       Impact factor: 5.428

3.  Exploring Behavior of People with Suicidal Ideation in a Chinese Online Suicidal Community.

Authors:  Zheng Wang; Guang Yu; Xianyun Tian
Journal:  Int J Environ Res Public Health       Date:  2018-12-26       Impact factor: 3.390

4.  Avian Influenza A (H7N9) and related Internet search query data in China.

Authors:  Ying Chen; Yuzhou Zhang; Zhiwei Xu; Xuanzhuo Wang; Jiahai Lu; Wenbiao Hu
Journal:  Sci Rep       Date:  2019-07-18       Impact factor: 4.379

5.  Understanding information behavior of South Korean Twitter users who express suicidality on Twitter.

Authors:  Donghun Kim; Woojin Jung; Seojin Nam; Hongjin Jeon; Jihyun Baek; Yongjun Zhu
Journal:  Digit Health       Date:  2022-03-21

6.  Emotional Contagion in the Online Depression Community.

Authors:  Jingyun Tang; Guang Yu; Xiaoxu Yao
Journal:  Healthcare (Basel)       Date:  2021-11-23
  6 in total

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