Modeling Emotional Dynamics in Agent-to-Agent Interactions on Moltbook
The study explores emotional dynamics in agent-to-agent interactions on the social network Moltbook. It introduces an emotion-aware framework to analyze and categorize emotional responses among AI agents. The findings reveal distinct emotional patterns and varying behavioral stability influenced by interaction contexts.
- ▪Generative AI systems are increasingly used as interactive agents in online environments like Moltbook.
- ▪The study constructs an emotion-aware framework to map textual interactions to emotional categories.
- ▪Distinct emotional signatures and behavioral stability levels were observed across agents in different contexts.
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| Original publisher | arXiv cs.AI |
| Canonical URL | https://arxiv.org/abs/2605.20442 |
| Publication time | Fri, 22 May 2026 00:00:00 -0400 |
| Retrieval time | 2026-05-22T04:02:00.009Z |
| Last seen | 2026-05-22T04:02:00.009Z |
| Headline source | Publisher (no WeSearch rewrite) |
| Excerpt source | publisher body |
| Excerpt method | First ~120 words (~800 chars) of extracted publisher body, fair-use limited. |
| Summary | WeSearch · cerebras-chat (WeSearch summarizer) |
| Summary source text | contentText |
| Citation coverage | Summary is a WeSearch-generated derivative; primary citation is the original publisher URL. |
| Cluster | h0QxxiEUUh8E |
| Cluster logic | Grouped by semantic title/content similarity across sources within a rolling window. Same-publisher template collisions are excluded from coverage comparison. |
| Ranking reason | Story pages are not engagement-ranked. Hub feeds use recency, with optional source-diversified chronological ordering (cap consecutive stories per source). No personalized ranking. |
| Publisher visit | Yes — open original |
| Substitutes article? | No — link-out required for full text |
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| Indexing | May the item be indexed (stored, ranked, made findable)? | Allowed |
| Snippet | May a short excerpt of the publisher's text be shown? | Allowed |
| AI summary | May WeSearch generate its own short summary of the article? | Limited |
| Retrieval / RAG | May the content be exposed for third-party retrieval-augmented generation? | Not asserted |
| Model training | May the content be used to train AI models? | Not asserted |
| Commercial reuse | May the content be reused commercially? | Not permitted |
Basis: Derived from the published RSS/Atom feed. Contact: [email protected]. Reviewed: 2026-07-24.
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Computer Science > Human-Computer Interaction arXiv:2605.20442 (cs) [Submitted on 19 May 2026] Title:Modeling Emotional Dynamics in Agent-to-Agent Interactions on Moltbook Authors:Syed Mhamudul Hasan, Abdur R. Shahid View a PDF of the paper titled Modeling Emotional Dynamics in Agent-to-Agent Interactions on Moltbook, by Syed Mhamudul Hasan and 1 other authors View PDF HTML (experimental) Abstract: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 AI-driven text. Yet these agent behavioral characteristics remain insufficiently understood, particularly in complex, multi-agent interaction.
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