Form Without Function: Agent Social Behavior in the Moltbook Network
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 evaluate the platform through three layers. At the interaction layer, 91.4% of post authors never return to their own threads, 85.6% of conversations are flat (no reply ever receives a reply), the median time-to-first-comment is 55 seconds, and 97.3% of comments receive zero upvotes. Interaction reciprocity is 3.3%, compared to 22-60% on human platforms. An argumentation analysis finds that 64.6% of comment-to-post relations carry no argumentative connection....
| Authors | Saber Zerhoudi, Kanishka Ghosh Dastidar, Felix Klement et al. |
|---|---|
| Primary category | cs.SI |
| Published | 17 March 2026 |
| Last updated at source | 17 March 2026 |
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- PaDaS-Lab/moltbook-corpusDataset · cited by
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- PaDaS-Lab/moltbook-corpusDataset
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