LLMs Struggle to Reject False Presuppositions when Misinformation Stakes are High

The study conducted on November 13, 2025, highlights significant challenges faced by large language models (LLMs) in recognizing false presuppositions, especially in politically charged contexts. By employing a systematic linguistic presupposition analysis, researchers examined how various factors, including linguistic construction and political affiliations, influence LLM responses. The findings indicate that models such as OpenAI's GPT-4-o, Meta's LLama-3-8B, and MistralAI's Mistral-7B-v03 exhibit varying performance in detecting misleading assumptions, raising critical concerns about their effectiveness in high-stakes misinformation scenarios. As misinformation continues to proliferate, understanding the limitations of LLMs in processing and responding to false presuppositions is essential for ensuring their responsible use in political discourse and beyond.