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Lexical, morphological and semantic correlates of the dark triad personality traits in russian facebook texts

机译:俄语facebook文本中黑社会人格特征的词汇,形态和语义相关

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The presented project is intended to make use of growing amounts or textual data in social networks in the Russian language, In order to find linguistic correlates of the Dark Triad personality traits, comprising non-clinical Narcissism, Machiavellianism and Psychopathy. The background for the investigation includes, on the one hand, psychological research on these phenomena and their measurement instruments, and on the other hand, recent advances In computational stylometry and text-based author profiling. The measures for these psychological phenomena are provided by recognized self-report psychological surveys adapted to Russian. Morphological and semantic analysis are applied to investigate the relationship between the Dark traits and their linguistic manifestation in social network texts. Significant morphological and semantic correlates of Narcissism, Machiavellianism and Psychopathy are identified and compared to respective advances In English author profiling. In order to deepen our understanding of the relation between these psychological characteristics and natural language use, the identified linguistic features are Interpreted In terms of the line-grained factor structure of the Dark traits. Identifying correlated features is a step towards automatic Dark trait prediction and early detection of the potentially harmful mental states.
机译:提出的项目旨在利用俄语语言在社交网络中增长的数量或文本数据,以查找黑暗三合会人格特质的语言关联,包括非临床自恋,马基雅维利主义和精神病。研究的背景一方面包括对这些现象及其测量工具的心理学研究,另一方面包括计算笔法和基于文本的作者配置文件方面的最新进展。针对这些心理现象的措施由适应俄罗斯的公认的自我报告心理调查提供。应用形态学和语义分析来研究黑暗特质与其在社交网络文本中的语言表现之间的关系。自恋,马基雅维利主义和精神病的重要形态和语义相关性得到了识别,并与英语作者个人档案中的各自进展进行了比较。为了加深我们对这些心理特征与自然语言使用之间关系的理解,对所识别的语言特征进行了解释,以黑暗特质的线粒因子结构为依据。识别相关特征是迈向自动黑暗特质预测和及早发现潜在有害精神状态的一步。

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