Development of an AI Anti-Bullying System Using Large Language Model Key Topic Detection
<|reference_start|>Development of an AI Anti-Bullying System Using Large Language Model Key Topic Detection: 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.<|reference_end|>
@article{tassava2024development,
    title={Development of an AI Anti-Bullying System Using Large Language Model Key
  Topic Detection},
    author={Matthew Tassava, Cameron Kolodjski, Jordan Milbrath, Adorah Bishop,
  Nathan Flanders, Robbie Fetsch, Danielle Hanson, Jeremy Straub},
    journal={arXiv preprint arXiv:2408.10417},
    year={2024},
    archivePrefix={arXiv},
    eprint={2408.10417},
    primaryClass={cs.AI cs.CL}
}