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This study investigates user receptivity to conversational AI agents in online dating through two bilingual survey datasets from Fledge.Love, encompassing responses from over 5,500 users. The findings reveal distinct attitudes towards deploying personal AI agents versus encountering others' AI-generated profiles, highlighting significant differences in user acceptance based on context and cultural background. The release of these datasets, along with comprehensive documentation, facilitates further exploration into human-AI interactions and technology acceptance across diverse populations.
Users show markedly different levels of acceptance for their own AI agents compared to those of others, revealing critical insights into the dynamics of AI integration in online dating.
Autonomous conversational agents and generative-AI features are being added to online dating platforms faster than public evidence about user attitudes can accumulate, and the scarcest evidence concerns the receiving side: how people react when the profiles, messages, or conversation partners they encounter are machine-generated. We release two anonymized survey datasets collected from active users of Fledge.Love, a dating platform serving an international user base. The first (N = 2,617; Russian and English forms) measures receptivity to autonomous conversational agents with a seven-item battery that separates the principal role (deploying one's own agent) from the counterpart role (encountering someone else's), plus six ordinal covariates and two auxiliary items. The second (N = 2,894) measures interest in three passive generative-AI features. The release includes model-derived scores for 2,499 complete cases, a bilingual codebook, a documented anonymization pipeline with a k-anonymity audit, executable analysis notebooks, and canonical outputs, supporting reuse in human-AI communication, recommender-systems, and cross-cultural technology-acceptance research.
