Application of actor level social characteristic indicator selection for the precursory detection of bullies in online social networks

Holly M. White; Jeremy Fields; Robert T. Hall; Joshua S. White

doi:10.1117/12.2224351

12 May 2016 Application of actor level social characteristic indicator selection for the precursory detection of bullies in online social networks

Holly M. White, Jeremy Fields, Robert T. Hall, Joshua S. White

Author Affiliations +

Proceedings Volume 9826, Cyber Sensing 2016; 98260D (2016) https://doi.org/10.1117/12.2224351
Event: SPIE Defense + Security, 2016, Baltimore, MD, United States

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.

Citation Download Citation

Holly M. White, Jeremy Fields, Robert T. Hall, and Joshua S. White "Application of actor level social characteristic indicator selection for the precursory detection of bullies in online social networks", Proc. SPIE 9826, Cyber Sensing 2016, 98260D (12 May 2016); https://doi.org/10.1117/12.2224351

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