The Role of LLMs in Enhancing Platform Policy Enforcement

Abstract

Large Language Models (LLMs) have been at the forefront in tackling complex challenges across several domains, including the enforcement of platform policy. The capabilities of natural language understanding, content moderation, and contextual decision-making that LLMs offer allow platforms to enforce their policies more effectively. This manuscript discusses the role of LLMs in improving platform policy enforcement, focusing on applications, challenges, and impact. We analyze statistical data and case studies to derive insights on how effective LLMs are in curbing harmful content, ensuring compliance, and creating a safer digital environment.