Stigmatizing Attitudes Across Cybersuicides and Offline Suicides: Content Analysis of Sina Weibo

doi:10.2196/36489

PSYCH OpenIR

	Stigmatizing Attitudes Across Cybersuicides and Offline Suicides: Content Analysis of Sina Weibo
	Li, Ang 1,2; Jiao, Dongdong 3; Zhu, Tingshao 2,4
通讯作者	Zhu, Tingshao(tszhu@psychac.cn)
摘要	Background: The new reality of cybersuicide raises challenges to ideologies about the traditional form of suicide that does not involve the internet (offline suicide), which may lead to changes in audience's attitudes. However, knowledge on whether stigmatizing attitudes differ between cybersuicides and offline suicides remains limited. Objective: This study aims to consider livestreamed suicide as a typical representative of cybersuicide and use social media data (Sina Weibo) to investigate the differences in stigmatizing attitudes across cybersuicides and offline suicides in terms of attitude types and linguistic characteristics. Methods: A total of 4393 cybersuicide-related and 2843 offline suicide-related Weibo posts were collected and analyzed. First, human coders were recruited and trained to perform a content analysis on the collected posts to determine whether each of them reflected stigma Second, a text analysis tool was used to automatically extract a number of psycholinguistic features from each post. Subsequently, based on the selected features, a series of classification models were constructed for different purposes: differentiating the general stigma of cybersuicide from that of offline suicide and differentiating the negative stereotypes of cybersuicide from that of offline suicide. Results: In terms of attitude types, cybersuicide was observed to carry more stigma than offline suicide (chi(2)(1)=179.8; P<.001). Between cybersuicides and offline suicides, there were significant differences in the proportion of posts associated with five different negative stereotypes, including stupid and shallow (chi(2)(1)=28.9; P<.001), false representation (chi(2)(1)=144.4; P<.001), weak and pathetic (chi(2)(1)=20.4; P<.001), glorified and normalized (chi(2)(1)=177.6; P<.001), and immoral (chi(2)(1)=11.8; P=.001). Similar results were also found for different genders and regions. In terms of linguistic characteristics, the F-measure values of the classification models ranged from 0.81 to 0.85. Conclusions: The way people perceive cybersuicide differs from how they perceive offline suicide. The results of this study have implications for reducing the stigma against suicide.
关键词	stigma cybersuicide livestreamed suicide linguistic analysis social media
	2022-04-08
语种	英语
DOI	10.2196/36489
发表期刊	JOURNAL OF MEDICAL INTERNET RESEARCH
ISSN	1438-8871
卷号	24 期号:4 页码:10
收录类别	SCI
出版者	JMIR PUBLICATIONS, INC
WOS关键词	SOCIAL MEDIA ; MENTAL-ILLNESS ; ADOLESCENTS ; DEPRESSION ; RESPONSES ; PEOPLE
WOS研究方向	Health Care Sciences & Services ; Medical Informatics
WOS类目	Health Care Sciences & Services ; Medical Informatics
WOS记录号	WOS:000800605800006
引用统计
文献类型	期刊论文
条目标识符	http://ir.psych.ac.cn/handle/311026/42744
通讯作者	Zhu, Tingshao
作者单位	1.Beijing Forestry Univ, Dept Psychol, Beijing, Peoples R China 2.Chinese Acad Sci, Inst Psychol, Key Lab Behav Sci, Hexie Bldg,16 Lincui Rd, Beijing 100101, Peoples R China 3.Natl Comp Syst Engn Res Inst China, Beijing, Peoples R China 4.Univ Chinese Acad Sci, Dept Psychol, Beijing, Peoples R China
推荐引用方式 GB/T 7714	Li, Ang,Jiao, Dongdong,Zhu, Tingshao. Stigmatizing Attitudes Across Cybersuicides and Offline Suicides: Content Analysis of Sina Weibo[J]. JOURNAL OF MEDICAL INTERNET RESEARCH,2022,24(4):10.
APA	Li, Ang,Jiao, Dongdong,&Zhu, Tingshao.(2022).Stigmatizing Attitudes Across Cybersuicides and Offline Suicides: Content Analysis of Sina Weibo.JOURNAL OF MEDICAL INTERNET RESEARCH,24(4),10.
MLA	Li, Ang,et al."Stigmatizing Attitudes Across Cybersuicides and Offline Suicides: Content Analysis of Sina Weibo".JOURNAL OF MEDICAL INTERNET RESEARCH 24.4(2022):10.