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Profiling School Shooters: Automatic Text-Based Analysis.

Yair Neuman1, Dan Assaf2, Yochai Cohen3

  • 1Homeland Security Institute and Department of Education, Ben-Gurion University of the Negev , Beer-Sheva , Israel.

Frontiers in Psychiatry
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Summary
This summary is machine-generated.

This study introduces an automated method to profile school shooters by analyzing their texts. Shooters

Keywords:
automatic text analysiscomputational personalityforensic psychiatrynatural language processingschool shooters

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Area of Science:

  • Forensic psychiatry
  • Law enforcement
  • Behavioral sciences

Background:

  • School shootings pose significant challenges to forensic psychiatry and law enforcement.
  • Understanding school shooters is complex due to their small numbers, diverse characteristics, and limited pre-incident analysis.
  • Existing research lacks comprehensive methodologies for profiling school shooters.

Purpose of the Study:

  • To introduce a novel methodology for the automatic profiling of school shooters.
  • To develop measures for identifying potential school shooters through text analysis.
  • To assess the effectiveness of the proposed profiling methodology.

Main Methods:

  • Automatic analysis of texts from school shooters and a comparison group.
  • Development of specific measures relevant to shooter identification.
  • Application of a ranking/prioritization procedure, analogous to that used for sexual predator identification.

Main Results:

  • School shooters' texts scored significantly higher on Narcissistic Personality, Humiliated, and Revengeful dimensions compared to the control group.
  • The proposed methodology demonstrated validity and relevance in identifying potential school shooters.
  • The ranking/prioritization procedure showed promise in highlighting individuals with concerning textual patterns.

Conclusions:

  • Automated text analysis offers a viable approach for profiling school shooters.
  • The identified personality dimensions (narcissism, humiliation, revenge) may be key indicators.
  • The developed methodology holds potential for early identification and intervention strategies.