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Real-Time Group Dynamics with LLM Facilitation: Evidence from a Charity Allocation Task
arXiv:2605.14097v2 Announce Type: replace Abstract: As large language models (LLMs) evolve from single-user assistants to active participants in civic and workplace deliberation, evaluating their effects on collective decision making becomes a governance challenge. We present two empirical studies (N=879) of real-time, text-based group deliberation in an incentive-compatible charity allocation task with real financial stakes ($7,200 USD). Groups of three allocate a donation budget under...