research
Researchers use LLMs to simulate misinformation susceptibility across demographics with 92% accuracy
Researchers have developed BeliefSim, a framework that uses Large Language Models to simulate how different demographic groups respond to misinformation by modeling their underlying beliefs. The approach achieved 92% accuracy in predicting susceptibility across multiple datasets and conditioning strategies.