Safeguarding Decentralized Social Media: LLM Agents for Automating Community Rule Compliance

Understand

Ensuring content compliance with community guidelines is crucial for maintaining healthy online social environments.

• However, traditional human-based compliance checking struggles with scaling due to the increasing volume of user-generated content and a limited number of moderators.
• Recent advancements in Natural Language Understanding demonstrated by Large Language Models unlock new opportunities for automated content compliance verification.
• This work evaluates six AI-agents built on Open-LLMs for automated rule compliance checking in Decentralized Social Networks, a challenging environment due to heterogeneous community scopes and rules.