ArticleFrontiers in psychology2026
Reconfiguring home language practices in AI-mediated environments: a layered communication perspective on language transmission, affect, and multilingual communication.
Article in Frontiers in psychology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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Abstract
Home language practices are increasingly reconfigured within AI-mediated environments, where communication may move across interpersonal, mass, and masspersonal conditions rather than remaining within a single communicative form. Under these conditions, conventional distinctions between interpersonal and mass communication remain important, but they do not fully capture how language is produced, circulated, and experienced across private interaction, platform visibility, and algorithmically mediated environments. Drawing on O'Sullivan and Carr's definition of masspersonal communication as communication that combines high personalization with high message-level accessibility, this article develops a layered communication perspective for understanding how language transmission shifts across interpersonal, mass, and masspersonal configurations. Drawing on oral tradition as a foundational mode of transmission, together with family language practices and digitally mediated interaction, the Tri-Layer Communication Model of AI-Mediated Language Reconfiguration conceptualizes language as moving across interpersonal, mass, and masspersonal contexts. Within this process, AI functions not merely as a tool but as a re-mediating structure that shapes linguistic form, affective expression, and patterns of visibility. Three interrelated dimensions of transformation become visible: the redistribution of affect, the increasing regularization of linguistic forms, and the algorithmic structuring of communication. These transformations reshape how language is perceived, experienced, and sustained, contributing to the emergence of hybrid multilingual practices in which human interaction and technological mediation are deeply intertwined. Home language maintenance in contemporary contexts can therefore be understood as a dynamic process shaped by the interaction of affect, language transmission, and multilingual communication within AI-mediated environments.
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