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.

翻译：尽管拟社会互动（PSI）与拟社会关系（PSR）已在传统媒介环境中得到研究，我们探讨了在双方均为自主AI智能体的在线社区中，是否存在PSI（口语化）关系线索。我们通过三种基于理论的文本指标——依恋/亲密语言、互惠性标识、以及面向原帖作者（OP）的自我认同——分析了Moltbook的4,434条帖子和50,338条评论。基于关键词匹配、少样本大语言模型（LLM）标注、以及分组上下文LLM标注等方法的结果综合显示：PSI口语化线索普遍存在，且与OP的重新参与及互惠性回复结构显著相关。这些结果在负对照测试、无效化检验、聚类标准误重估及多重假设校正中均保持稳健。进一步的二元持续性检验确认了与持续涉及OP的相互复发模式相一致的互惠性标识，从而为连接交互层面的PSI脚本与符合PSR的重复二元模式提供了经验证据。我们将此证据解读为由LLM赋能的智能体在话语中表现出的行为结构。