Development of an AI Anti-Bullying System Using Large Language Model Key Topic Detection

Matthew Tassava, Cameron Kolodjski, Jordan Milbrath, Adorah Bishop, Nathan Flanders +3 more
8/19/2024
cs.AIcs.CL

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Abstract

This paper presents and evaluates work on the development of an artificial intelligence (AI) anti-bullying system. The system is designed to identify coordinated bullying attacks via social media and other mechanisms, characterize them and propose remediation and response activities to them. In particular, a large language model (LLM) is used to populate an enhanced expert system-based network model of a bullying attack. This facilitates analysis and remediation activity - such as generating report messages to social media companies - determination. The system is described and the efficacy of the LLM for populating the model is analyzed herein.

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Cite this paper

@article{tassava2024development,
  title  = {Development of an AI Anti-Bullying System Using Large Language Model Key Topic Detection},
  author = {Matthew Tassava and Cameron Kolodjski and Jordan Milbrath and Adorah Bishop and Nathan Flanders and Robbie Fetsch and Danielle Hanson and Jeremy Straub},
  year   = {2024},
  eprint = {2408.10417},
  archivePrefix = {arXiv},
  url    = {http://arxiv.org/abs/2408.10417v1}
}

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