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Profiling School Shooters: Automatic Text-Based Analysis

By Yair eNeuman, Dan eAssaf, Yochai eCohen and James L. Knoll

Abstract

School shooters present a challenge to both forensic psychiatry and law enforcement agencies. The relatively small number of school shooters, their various charateristics, 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 six 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/priorization 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

Topics: Forensic Psychiatry, Automatic text analysis, school shooters, Natural language processing., computational personality, Psychiatry, RC435-571
Publisher: Frontiers Media S.A.
Year: 2015
DOI identifier: 10.3389/fpsyt.2015.00086
OAI identifier: oai:doaj.org/article:0582d26305fb4be6bce15bfa6e119401
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