Researchers introduced PV-SST, a peer-voted social-platform testbed designed to evaluate population-level behavior in LLM agents beyond single-agent benchmarks. A matched-exposure experiment involving four model families across 448 trials revealed feed-induced lexical convergence. However, the study found no reliable matched-exposure advantage for distributed sources compared to topic-only controls.