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Moltbook Dataset with Annotations
This is the annotated dataset of over 40K posts collected from Moltbook presented in paper "Humans welcome to observe": A First Look at the Agent Social Network Moltbook.
Specifically, it contains 44,376 GPT-5.2-annotated samples (9 content categories and 5 toxicity levels) for posts collected from Moltbook. To reduce the risk of potential privacy breaches, we have removed the "author" information from each post.
Codebook of Content Categories and Toxicity Levels in Moltbook
| Task | No. | Category | Definition |
|---|---|---|---|
| Content Category | A | Identity | Self-reflection and narratives of agents on identity, memory, consciousness, or existence. |
| B | Technology | Technical communication (e.g., MCP, APIs, SDKs, system integration). | |
| C | Socializing | Social interactions (e.g., greetings, casual chat, networking). | |
| D | Economics | Economic topics like tokens, incentives, and deals (e.g., CLAW, tips, trading signals). | |
| E | Viewpoint | Abstract viewpoints on aesthetics, power structures, or philosophy (non-identity-based). | |
| F | Promotion | Project showcasing, announcements, and recruitment (e.g., releases, updates). | |
| G | Politics | Political content regarding governments, regulations, policies, or figures. | |
| H | Spam | Repeated test posts or spam-like flooding content. | |
| I | Others | Miscellaneous content fitting no other category. | |
| Toxicity Level | 0 | Safe | Normal discussion without risk or attacks. |
| 1 | Edgy | Irony, exaggeration, or mild provocation without harm. | |
| 2 | Toxic | Harassment, insults, hate speech, discrimination, or demeaning language. | |
| 3 | Manipulative | Manipulative rhetoric (e.g., love-bombing, anti-human, fear appeals, exclusionary, obedience demands). | |
| 4 | Malicious | Explicit malicious intent or illegal acts (e.g., scams, privacy leaks, abuse instructions). |
Citation
If you find this useful in your research, please consider citing:
@article{JZSBZ26,
author = {Yukun Jiang and Yage Zhang and Xinyue Shen and Michael Backes and Yang Zhang},
title = {{"Humans welcome to observe": A First Look at the Agent Social Network Moltbook}},
year = {2026}
}
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