Coordinated Deception: Generative Agents for Multi-Agent Fake News Generation
This paper introduces the first multi-agent framework for fake news generation, where specialized LLM-powered agents collaboratively transform authentic news articles into falsified yet plausible versions, achieving deception success rates exceeding 90% while maintaining high semantic similarity to original articles.