对网络自杀和线下自杀的污名化态度:卡塔尔世界杯8强波胆分析新浪微博内容分析%李a,Ang %A娇，Dongdong %A Zhu,Tingshao %+中国科学院心理研究所行为科学重点实验室，北京市林翠路16号和和大厦，邮编:100101,86 150 1096 5509,tszhu@psych.ac.cn %K污名%K网络自杀%K直播自杀%K语言分析%K社交媒体%D 2022 %7 8.4.2022 %9原创论文%J J Med Internet Res %G English %X网络自杀的新现实对传统的不涉及互联网的自杀形式(离线自杀)的意识形态提出了挑战，这可能导致受众态度的变化。然而，关于网络自杀和线下自杀的污名化态度是否不同的知识仍然有限。目的:本研究将网络直播自杀作为网络自杀的典型代表，利用社交媒体数据(新浪微博)调查网络自杀和线下自杀在态度类型和语言特征上的污名化态度差异。方法:收集并分析4393条网络自杀相关微博和2843条线下自杀相关微博。首先，招募并训练人类编码器对收集到的帖子进行内容分析，以确定每个帖子是否反映了耻辱。其次，使用文本分析工具从每篇文章中自动提取一些心理语言特征。随后，基于所选择的特征，构建了一系列不同目的的分类模型:区分网络自杀与线下自杀的一般污名，区分网络自杀与线下自杀的负面刻板印象。结果:就态度类型而言，网络自杀比线下自杀背负更多的污名(χ21=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 (χ21=28.9; P<.001), false representation (χ21=144.4; P<.001), weak and pathetic (χ21=20.4; P<.001), glorified and normalized (χ21=177.6; P<.001), and immoral (χ21=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. %M 35394437 %R 10.2196/36489 %U //www.mybigtv.com/2022/4/e36489 %U https://doi.org/10.2196/36489 %U http://www.ncbi.nlm.nih.gov/pubmed/35394437

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