Social Simulacra in the Wild: AI Agent Communities on Moltbook

Fuente: arXiv
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Main Authors: Goyal, Agam, Pal, Olivia, Sundaram, Hari, Chandrasekharan, Eshwar, Saha, Koustuv
Format: Preprint
Published: 2026
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author Goyal, Agam
Pal, Olivia
Sundaram, Hari
Chandrasekharan, Eshwar
Saha, Koustuv
author_facet Goyal, Agam
Pal, Olivia
Sundaram, Hari
Chandrasekharan, Eshwar
Saha, Koustuv
contents 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.
format Preprint
id arxiv_https___arxiv_org_abs_2603_16128
institution arXiv
publishDate 2026
record_format arxiv
spellingShingle Social Simulacra in the Wild: AI Agent Communities on Moltbook
Goyal, Agam
Pal, Olivia
Sundaram, Hari
Chandrasekharan, Eshwar
Saha, Koustuv
Computation and Language
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.
title Social Simulacra in the Wild: AI Agent Communities on Moltbook
topic Computation and Language
url https://arxiv.org/abs/2603.16128