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剖析校园枪手:基于文本的自动分析

Profiling School Shooters: Automatic Text-Based Analysis.

作者信息

Neuman Yair, Assaf Dan, Cohen Yochai, Knoll James L

机构信息

Homeland Security Institute and Department of Education, Ben-Gurion University of the Negev , Beer-Sheva , Israel.

Independent Researcher , Petakh-Tikva , Israel.

出版信息

Front Psychiatry. 2015 Jun 3;6:86. doi: 10.3389/fpsyt.2015.00086. eCollection 2015.

DOI:10.3389/fpsyt.2015.00086
PMID:26089804
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC4453266/
Abstract

School shooters present a challenge to both forensic psychiatry and law enforcement agencies. The relatively small number of school shooters, their various characteristics, and the lack of in-depth analysis of all of the shooters prior to the shooting add complexity to our understanding of this problem. In this short paper, we introduce a new methodology for automatically profiling school shooters. The methodology involves automatic analysis of texts and the production of several measures relevant for the identification of the shooters. Comparing texts written by 6 school shooters to 6056 texts written by a comparison group of male subjects, we found that the shooters' texts scored significantly higher on the Narcissistic Personality dimension as well as on the Humilated and Revengeful dimensions. Using a ranking/prioritization procedure, similar to the one used for the automatic identification of sexual predators, we provide support for the validity and relevance of the proposed methodology.

摘要

校园枪手对法医精神病学和执法机构都构成了挑战。校园枪手的数量相对较少,他们具有各种各样的特征,而且在枪击事件发生之前,对所有枪手缺乏深入分析,这增加了我们对这个问题理解的复杂性。在这篇短文中,我们介绍一种自动勾勒校园枪手轮廓的新方法。该方法涉及对文本的自动分析以及生成一些与识别枪手相关的指标。将6名校园枪手所写的文本与一组由男性组成的对照组所写的6056篇文本进行比较,我们发现枪手的文本在自恋人格维度以及屈辱和报复维度上得分显著更高。通过使用一种类似于用于自动识别性侵犯者的排名/优先级排序程序,我们为所提出方法的有效性和相关性提供了支持。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e760/4453266/112c4d7ea513/fpsyt-06-00086-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e760/4453266/112c4d7ea513/fpsyt-06-00086-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e760/4453266/112c4d7ea513/fpsyt-06-00086-g001.jpg

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