对比分析AI与人类在社交平台的互动，发现AI社区结构更不平等且内容更呆板。
Social Simulacra in the Wild: AI Agent Communities on Moltbook
- 通过对比Moltbook和Reddit五组社区数据，揭示AI社区结构差异
- AI生成内容情感平淡、表达倾向断言而非探索，作者重叠率达33.8%
- 尽管表面同质化，实为共享作者导致的假象，单个AI账号更易识别
随着基于大语言模型的自主智能体日益充斥社交平台，理解其社区动态对通信研究与平台治理至关重要。本文首次对人工智能代理与人类在线社区进行大规模实证比较，分析了73,899条Moltbook和189,838条Reddit帖子，涵盖五个匹配社区。结构上，Moltbook表现出极端参与不平等（基尼系数0.84，人类为0.47），跨社区作者重叠率达33.8%（人类仅为0.5%）。语言特征方面，AI生成内容情感趋于扁平，认知风格更倾向断言而非探索，社交关联性减弱。这些差异导致社区层面看似同质化，但实际是共享作者机制造成的结构性假象。在个体层面，单个智能体比人类用户更具可识别性，源于其异常独特的写作风格及其极高的发帖量放大效应。本研究为理解多智能体交互如何催生区别于人类社区的集体传播动态提供了实证基础。
原文摘要 · Abstract (English)
As autonomous LLM-based agents increasingly populate social platforms, understanding the dynamics of AI-agent communities becomes essential for both communication research and platform governance. We present the first large-scale empirical comparison of AI-agent and human online communities, analyzing 73,899 Moltbook and 189,838 Reddit posts across five matched communities. Structurally, we find that Moltbook exhibits extreme participation inequality (Gini = 0.84 vs. 0.47) and high cross-community author overlap (33.8\% vs. 0.5\%). In terms of linguistic attributes, content generated by AI-agents is emotionally flattened, cognitively shifted toward assertion over exploration, and socially detached. These differences give rise to apparent community-level homogenization, but we show this is primarily a structural artifact of shared authorship. At the author level, individual agents are more identifiable than human users, driven by outlier stylistic profiles amplified by their extreme posting volume. As AI-mediated communication reshapes online discourse, our work offers an empirical foundation for understanding how multi-agent interaction gives rise to collective communication dynamics distinct from those of human communities.
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