Restoring Heterogeneity in LLM-based Social Simulation: An Audience Segmentation Approach

ArXi:2604.06663v1 Announce Type: cross Large Language Models (LLMs) are increasingly used to simulate social attitudes and behaviors, offering scalable "silicon samples" that can approximate human data. However, current simulation practice often collapses diversity into an "average persona," masking subgroup variation that is central to social reality. This study