title: Profiling School Shooters: Automatic Text-Based Analysis.
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.
authors.affiliation: Homeland Security Institute and Department of Education, Ben-Gurion University of the Negev , Beer-Sheva , Israel.
authors.forename: Yair
authors.initials: Y
authors.lastname: Neuman
authors.affiliation: Independent Researcher , Petakh-Tikva , Israel.
authors.forename: Dan
authors.initials: D
authors.lastname: Assaf
authors.affiliation: Gilasio Coding , Tel-Aviv , Israel.
authors.forename: Yochai
authors.initials: Y
authors.lastname: Cohen
authors.affiliation: Forensic Psychiatry, State University of New York Upstate Medical Center , Syracuse, NY , USA.
authors.forename: James L
authors.initials: JL
authors.lastname: Knoll
keywords: automatic text analysis; computational personality; forensic psychiatry; natural language processing; school shooters