Themes of Revenge: Automatic Identification of Vengeful Content in Textual Data. (arXiv:2205.01731v1 [cs.CL])

Web: http://arxiv.org/abs/2205.01731

Revenge is a powerful motivating force reported to underlie the behavior of
various solo perpetrators, from school shooters to right wing terrorists. In
this paper, we develop an automated methodology for identifying vengeful themes
in textual data. Testing the model on four datasets (vengeful texts from social
media, school shooters, Right Wing terrorist and Islamic terrorists), we
present promising results, even when the methodology is tested on extremely
imbalanced datasets. The paper not only presents a simple and powerful
methodology …

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