在线约会中对对话式AI智能体的双向接受度：来自Fledge.Love的双语调查数据
Two-sided receptivity to conversational AI agents in online dating: Bilingual survey data from Fledge.Love
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中文总结 AI 辅助
本研究发布来自Fledge.Love的双语调查数据集，测量在线约会用户对对话式AI智能体及生成式AI功能的双向接受度，为相关研究提供可复用的数据资源。
中文摘要 AI 辅助
自主对话式智能体和生成式AI功能正以远超用户态度公开证据积累速度的节奏被添加到在线约会平台中，而最稀缺的证据涉及接收方：当用户遇到的个人资料、消息或对话伙伴是机器生成时的反应。我们发布从国际用户约会平台this http URL活跃用户处收集的两份匿名调查数据集。第一份（N=2617；俄语和英语版本）通过包含7个题项的量表测量对自主对话式智能体的接受度，该量表区分了自身部署智能体的主要角色与遇到他人智能体的对应角色，还包含6个有序协变量和2个辅助题项。第二份（N=2894）测量对3种被动生成式AI功能的兴趣。发布内容包含2499个完整案例的模型衍生得分、双语代码手册、带k-匿名审计的匿名化流程文档、可执行分析笔记本及规范输出，支持在人-AI通信、推荐系统和跨文化技术接受研究中的复用。
英文摘要
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.
