社会与工程心理学研究室知识库

目的通过比较不同程度自杀可能性网络用户在微博行为和语言上的差异,归纳高自杀可能用户的可识别特征,探讨通过网络社交平台实时评估个体自杀可能的前景。方法在线招募微博用户参与问卷调查,根据个体自杀可能性量表中文版得分情况,将982名受访者分为446名高自杀可能组和536名低自杀可能组,分析2组在微博提取的10类行为特征和88类语言特征上的差异。结果全部受访者自杀可能性总均分为(69.7±11.9)分;女性"敌意"分量表得分为(13.2±2.6)分,高于男性的(12.7±2.4)分,"绝望"分量表得分为(24.4±4.7)分,低于男性的(25.0±4.7)分,差异均有统计学意义(P〈0.05);二列相关分析表明,自杀可能性水平与"社交活跃度"和"未来词"使用频率呈负相关(r=-0.082、-0.073,P〈0.05),与"夜间活跃度"和"第三人称单数"、"否定词"使用频率呈正相关(r=0.081、0.077、0.066,P〈0.05);非参数检验结果表明,高自杀可能组的"社交活跃度"、"集体关注度"和"未来词"使用频率低于低自杀可能组(P〈0.05),高自杀可能组的"夜间活跃度"和"死亡词"使用频率大于低自杀可能组(P〈0.05)。结论不同自杀可能性的用户在微博行为和语言表达上存在差异,高自杀可能性用户与其他用户相比社交活跃度低,夜间更加活跃,关注别人更少,使用更多表达否定、死亡的词语,使用更少指向未来的词语。

To compare the differences in linguistic and behavioral features of microblog users with various suicide ideation level and to identify the users with high suicide ideation for possible real-time assessment of suicide probability through social network platform． Methods Microblog users were recruited to participate an online survey and 982 respondents completed the survey． The respondents were divided into either high or low suicide ideation group according to their scores measured with the Suicide Probability Scale． The differences between the two groups in 10 behavioral
and 88 linguistic features in microblog activities were analyzed． Ｒesults The average Suicide Probability Scale score was 69. 7 ± 11. 9 for all respondents; compared to the male respondents， the female had a higher subscale score of hostility( 13. 2 ± 2. 6 vs． 12. 7 ± 2． 4，P ＜ 0. 05) and scaled a lower subscale score of desperation( 24. 4 ± 4. 7 vs． 25. 0 ± 4. 7，P ＜ 0. 05) ． Suicide ideation level was negatively correlated with social activeness and the frequency of future word use( r = － 0. 082，－ 0. 073， all P ＜ 0. 05) and positively correlated with nocturnal activeness and frequent use of third person singular and negative word( r = 0. 081，0. 077，0. 066，all P ＜ 0. 05) ． The respondents of high suicide ideation were less social interactive， expressed themselves less in first person plural，used“future words”less frequently，were more active at night， and used“death words”more frequently than those of low suicide ideation group( P ＜ 0. 05) ． Conclusion Microblog users with higher suicide ideation demonstrate significant differences from those with lower suicide ideation in terms of linguistic and microblog behavioral features． The study supports further exploration on online identification of suicidal individuals．