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Proceedings Paper

Application of actor level social characteristic indicator selection for the precursory detection of bullies in online social networks
Author(s): Holly M. White; Jeremy Fields; Robert T. Hall; Joshua S. White
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Paper Abstract

Bullying is a national problem for families, courts, schools, and the economy. Social, educational, and professional lives of victims are affected. Early detection of bullies mitigates destructive effects of bullying. Our previous research found, given specific characteristics of an actor, actor logics can be developed utilizing input from natural language processing and graph analysis. Given similar characteristics of cyberbullies, in this paper, we create specific actor logics and apply these to a select social media dataset for the purpose of rapid identification of cyberbullying.

Paper Details

Date Published: 12 May 2016
PDF: 7 pages
Proc. SPIE 9826, Cyber Sensing 2016, 98260D (12 May 2016); doi: 10.1117/12.2224351
Show Author Affiliations
Holly M. White, American College of Education (United States)
Jeremy Fields, SUNY Polytechnic (United States)
Robert T. Hall, Rsignia Inc. (United States)
Joshua S. White, SUNY Polytechnic (United States)
Rsignia Inc. (United States)


Published in SPIE Proceedings Vol. 9826:
Cyber Sensing 2016
Igor V. Ternovskiy; Peter Chin, Editor(s)

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