🤖 AI Summary
This study investigates how generative AI intervenes in human romantic communication, reshaping affective expression, relational structures, and perceptions of authenticity. Drawing on a multimodal corpus of everyday discourse collected between 2023 and 2026, and integrating discourse analysis with sociological–media theoretical frameworks, the project proposes the “covert triad” structural model and introduces the concept of “expressive labor.” It reveals an operational triadic interaction mediated by AI, wherein the labor of emotional expression is outsourced to artificial agents while the burden of emotional experience remains with human users. By redefining authenticity in digital-age intimacy—not through linguistic authorship but through emotional ownership—this work offers a critical theoretical innovation for understanding human–machine co-constituted intimate practices.
📝 Abstract
Generative artificial intelligence (AI) has begun infiltrating the most ordinary domains of romantic life -- drafting apologies, softening reproaches, and decoding a partner's ambiguous messages. While recent scholarship on AI in intimate life has concentrated on chatbot companions, this article shifts the frame to AI as an intermediary in human-to-human romantic communication. Drawing on a multi-modal corpus of vernacular discourse from 2023 to 2026, we contribute two complementary concepts. The covert triad names a structural change: a relationship phenomenally dyadic but operationally triadic, with the third party visible only to the partner who deploys a model. Articulation labor names the mechanism whereby the expressive component of emotional labor -- converting felt experience into language that a partner can receive -- is increasingly delegated to AI, even as feeling labor remains lodged in the user. Authenticity, under these conditions, is being reconfigured from a property of linguistic authorship to one of emotional ownership, a shift actively contested.