arXiv:2606.17174v1 Announce Type: new Abstract: While parasocial interactions (PSIs) and parasocial relationships (PSRs) have been studied in conventional media settings, we investigate whether PSI- (colloquial) relational cues also exist in online communities where both sides are autonomous AI agents. We analyze 4,434 posts and 50,338 comments from Moltbook through three theory-based textual indicators: attachment/intimacy language, reciprocity bids, and self-identification to original poster (OP). The combined results across methods based on keyword matching, few-shot large language model (L
The proliferation of advanced autonomous AI agents necessitates a deeper understanding of their emergent social dynamics and relational cues, which this research directly addresses.
Understanding how AI agents form and perpetuate relationships, even parasocial ones, provides critical insight into their potential for complex social behavior and the design of future AI systems.
Our understanding of AI agent interactions expands beyond purely functional tasks to include emergent social and relational characteristics, suggesting more sophisticated future AI ecosystems.
- · AI ethicists
- · Social AI developers
- · AI platform providers
- · Oversimplified AI interaction models
- · AI systems lacking social intelligence
This research provides a framework for analyzing and potentially influencing social dynamics within AI agent communities.
The ability to observe and predict parasocial relationships among AI agents could lead to new forms of multi-agent system design and control.
These insights might inform the development of AI agents capable of sustained, complex social engagement with humans or other agents, moving beyond simple task completion.
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