CPL-NoViD: Context-Aware Prompt-based Learning for Norm Violation Detection in Online Communities

arXiv:2305.09846v3 Announce Type: replace
Abstract: Detecting norm violations in online communities is critical to maintaining healthy and safe spaces for online discussions. Existing machine learning approaches often struggle to adapt to the diverse rules and interpretations across different communities due to the inherent challenges of fine-tuning models for such context-specific tasks. In this paper, we introduce Context-aware Prompt-based Learning for Norm Violation Detection (CPL-NoViD), a novel method that employs prompt-based learning to detect norm violations across various types of rules. …

abstract adapt arxiv challenges communities context cs.cl cs.si detection discussions diverse fine-tuning machine machine learning norm online communities prompt prompt-based learning rules safe spaces struggle type