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arXiv · 2606.17174

From Parasocial Scripts to Dyadic Persistence in Autonomous AI-Agent Communities

Mohammadsadegh Abolhasani·Hamid Reza Firoozfar·Reza Mousavi·Paul Jen-Hwa Hu
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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 (LLM) annotation, and grouped-context LLM annotation reveal that PSI colloquial cues prevail and are strongly associated with OP re-engagement and a reciprocal reply structure. These results are robust across negative controls, nullification, clustered-standard-error re-estimation, and multiple-testing correction. A dyadic persistence test further affirms reciprocity bids aligned with sustained OP-involving mutual recurrence, providing empirical evidence for bridging interaction-level PSI scripts with PSR-consistent repeated dyadic patterns. We interpret the evidence as a behavioral structure in discourse by LLM-enabled agents.

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Mohammadsadegh Abolhasani, Hamid Reza Firoozfar, Reza Mousavi, Paul Jen-Hwa Hu. 2026-06-15. From Parasocial Scripts to Dyadic Persistence in Autonomous AI-Agent Communities. https://arxiv.org/abs/2606.17174

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