Two-sided receptivity to conversational AI agents in online dating: Bilingual survey data from Fledge.Love

2026-08-19

AI Summary

研究通过Fledge.Love平台上的双语调查数据，探讨用户对在线约会中遇到的机器生成内容的态度，采用问卷调查法收集了关于自主对话代理接受度的数据。

Abstract

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.

Problem

• conversational AI agents
• online dating
• user attitudes
• receptivity

Innovation

• autonomous conversational agents
• generative AI
• user attitudes
• online dating platforms
• cross-cultural technology-acceptance