This research introduces ECHOMIST, the first comprehensive benchmark designed to evaluate how Large Language Models (LLMs) handle implicit misinformation embedded in user queries.

• Reveals how LLMs often fail to question false premises in user questions
• Demonstrates that current AI systems may inadvertently amplify misconceptions
• Shows that even advanced LLMs are vulnerable to spreading subtle misinformation
• Highlights the need for improved safety measures in AI deployment

This work is critical for security professionals as it exposes significant safety concerns in widely deployed AI systems, emphasizing the importance of developing better evaluation methods and safeguards against subtle misinformation propagation.

How to Protect Yourself from 5G Radiation? Investigating LLM Responses to Implicit Misinformation