中国科学院行为科学重点实验室知识库

目的:描述社交媒体中负向情绪的表达,探讨其与浏览者自杀风险的关系。方法:选取抑郁症自杀者"走饭"遗言微博下的10 582条留言,利用NVivo11 Pro软件,由1名资深社会工作者对留言进行理解,建立树状节点,根据留言所含情绪进行留言的编码分类,经由另1名社工进行复查,产生分歧的留言由心理咨询师进行裁定。利用N11软件词频分析功能,统计留言中高频出现的词语及其频率。结果:微博留言者中表述自己患有抑郁症者占9%;表达自杀意念者占14%;负向表达留言占77%。词频统计发现"想死"、"杀"、"死了"、"离开"、"自杀"为高频的自杀相关关键词。结论:高自杀风险者聚集在该微博留言区,大量表达负性情绪,可能通过情绪传染对浏览者自杀风险产生影响。

To describe the negative emotional expression and explore its relationship with the suicide risk of viewers. Methods: Totally 10 582 messages from the microblog of " Zoufan" ，a suicide blogger with depression，were selected. By using Nvivo11 Pro software，a social worker read the messages，established tree nodes，coded and classified the messages according to the emotions contained in the messages，and rechecked by another social worker. The messages with different opinions were decided by the psychological consultant. By using N11 software word frequency analysis function， the high frequency words and their frequency in the message were counted. Results: Totally 9% of microblog users said they had depression，14% expressed suicidal thoughts and 77% expressed negative messages. Word frequency statistics found that " want to die"，"kill"，"die"，"leave"，" suicide" and other high-frequency suicide related keywords. Conclusion: High suicide risk people will gather in the microblog message area，expressing a large number of negative emotions，which may have an impact on the suicide risk of visitors through emotional contagion.