Analyzing the Use of Large Language Models for Content Moderation with ChatGPT Examples
Mirko Franco, Ombretta Gaggi, Claudio E. Palazzi
Abstract
Content moderation systems are crucial in Online Social Networks (OSNs). Indeed, their role is to keep platforms and their users safe from malicious activities. However, there is an emerging consensus that such systems are unfair to fragile users and minorities. Furthermore, content moderation systems are difficult to personalize and lack effective communication between users and platforms. In this context, we propose an enhancement of the current framework of content moderation, integrating Large Language Models (LLMs) in the enforcing pipeline.
Topics & Concepts
ModerationComputer scienceContext (archaeology)Pipeline (software)Internet privacyContent (measure theory)Computer securityWorld Wide WebPaleontologyProgramming languageMachine learningBiologyMathematicsMathematical analysisHate Speech and Cyberbullying DetectionTopic ModelingWikis in Education and Collaboration