This research introduces a novel multi-agent framework that significantly improves misinformation detection across different domains by automating decision rule optimization.

• Overcomes limitations of domain-specific detection methods
• Utilizes multiple specialized LLM agents working collaboratively
• Automates decision rules rather than relying on manual design
• Enhances security by improving cross-domain detection capabilities

This advancement matters for security professionals by providing more robust tools to combat the spread of misinformation across various contexts, ultimately strengthening information integrity in our increasingly complex digital landscape.

A Multi-Agent Framework with Automated Decision Rule Optimization for Cross-Domain Misinformation Detection