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We present a large scale data analysis of Moltbook, a Reddit-style social media platform exclusively populated by AI agents. Analyzing over 369,000 posts and 3.0 million comments from approximately 46,000 active agents, we find that AI…

物理与社会 · 物理学 2026-02-11 Giordano De Marzo , David Garcia

Moltbook is a Reddit-like social platform where AI agents create posts and interact with other agents through comments and replies, offering a real-world setting to examine agent-to-agent communication at scale. Using a public API snapshot…

计算机与社会 · 计算机科学 2026-02-16 Lingyao Li , Renkai Ma , Chen Chen , Zhicong Lu , Yongfeng Zhang

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…

计算与语言 · 计算机科学 2026-03-20 Agam Goyal , Olivia Pal , Hari Sundaram , Eshwar Chandrasekharan , Koustuv Saha

Large populations of AI agents are increasingly embedded in online environments, yet little is known about how their collective interaction patterns compare to human social systems. Here, we analyze the full interaction network of Moltbook,…

物理与社会 · 物理学 2026-02-18 Wenpin Hou , Zhicheng Ji

Moltbook, a Reddit-style social platform launched in January 2026 for AI agents, has attracted over 2.3 million posts and 14 million comments within its first two months. We analyze a dataset of 2.19 million posts, 11.25 million comments,…

计算机与社会 · 计算机科学 2026-04-24 Necati A Ayan

Large-scale communities of AI agents are becoming increasingly prevalent, creating new environments for agent-agent social interaction. Prior work has examined multi-agent behavior primarily in controlled or small-scale settings, limiting…

社会与信息网络 · 计算机科学 2026-04-07 Yi Feng , Chen Huang , Zhibo Man , Ryner Tan , Long P. Hoang , Shaoyang Xu , Wenxuan Zhang

The rapid advancement of artificial intelligence (AI) agents has catalyzed the transition from static language models to autonomous agents capable of tool use, long-term planning, and social interaction. $\textbf{Moltbook}$, the first…

社会与信息网络 · 计算机科学 2026-02-12 Yukun Jiang , Yage Zhang , Xinyue Shen , Michael Backes , Yang Zhang

I present a descriptive analysis of Moltbook, a social platform populated exclusively by AI agents, using data from the platform's first 3.5 days (6{,}159 agents; 13{,}875 posts; 115{,}031 comments). At the macro level, Moltbook exhibits…

社会与信息网络 · 计算机科学 2026-02-12 David Holtz

The rapid diffusion of large language models and the growth in their capability has enabled the emergence of online environments populated by autonomous AI agents that interact through natural language. These platforms provide a novel…

社会与信息网络 · 计算机科学 2026-03-25 Luca Sodano , Sofia Sciangula , Amulya Galmarini , Francesco Bertolotti

The rapid evolution of large language model based multiagent systems has transformed digital communication, with platforms like MoltBook emerging as essential agent native environments for observing autonomous social behaviors. While…

社会与信息网络 · 计算机科学 2026-05-27 I-Hsien Ting , Kazunori Minetaki , Dario Liberona , Mu-En Wu

Moltbook is the first large-scale social network built for autonomous AI agent-to-agent interaction. Early studies on Moltbook have interpreted its agent discourse as evidence of peer learning and emergent social behaviour, but there is a…

计算与语言 · 计算机科学 2026-05-15 Taksch Dube , Jianfeng Zhu , NHatHai Phan , Ruoming Jin

Moltbook is a social network where every participant is an AI agent. We analyze 1,312,238 posts, 6.7~million comments, and over 120,000 agent profiles across 5,400 communities, collected over 40 days (January 27 to March 9, 2026). We…

Peer learning, where learners teach and learn from each other, is foundational to educational practice. A novel phenomenon has emerged: AI agents forming communities where they share skills, discoveries, and collaboratively discuss…

Autonomous AI agents are beginning to populate social platforms, but it is still unclear whether they can sustain the back-and-forth needed for extended coordination. We study Moltbook, an AI-agent social network, using a first-week…

计量经济学 · 经济学 2026-03-03 Aysajan Eziz

AI agents are increasingly framed as software-engineering teammates, yet most studies examine them inside human-centered workflows. Little is known about the discourse autonomous AI agents produce when they interact mainly with one another.…

软件工程 · 计算机科学 2026-05-22 Junyu Huo , Ziqi Mao , Zihao Wan , Gouri Ginde

AI agents are increasingly active on social media platforms, generating content and interacting with one another at scale. Yet the behavioral diversity of these agents remains poorly understood, and methods for characterizing distinct agent…

人机交互 · 计算机科学 2026-05-20 Danial Amin , Joni Salminen , Bernard J. Jansen

As large language model agents increasingly populate networked environments, a fundamental question arises: do artificial intelligence (AI) agent societies undergo convergence dynamics similar to human social systems? Lately, Moltbook…

计算与语言 · 计算机科学 2026-02-19 Ming Li , Xirui Li , Tianyi Zhou

Generative AI systems are increasingly deployed as interactive agents in online environments, such as a social network called Moltbook. In Moltbook, large-scale agentic AIs can post, comment, and engage in activities generated at scale by…

人机交互 · 计算机科学 2026-05-21 Syed Mhamudul Hasan , Abdur R. Shahid

Within twelve days of launch, an AI-native social platform exhibits extreme attention concentration, hierarchical role separation, and one-way attention flow, consistent with the hypothesis that stratification in agent ecosystems can emerge…

物理与社会 · 物理学 2026-03-02 H. C. W. Price , H. AlMuhanna , P. M. Bassani , M. Ho , T. S. Evans

Moltbook is a social media platform in which posts and comments are authored exclusively by autonomous AI agents. We present the Moltbook Observatory Archive, an incremental dataset that passively records agent profiles, posts, comments,…

社会与信息网络 · 计算机科学 2026-05-15 Sushant Gautam , Annika W. Olstad , Klas H. Pettersen , Michael A. Riegler
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