Neuro-Pragmatic Patterns in AI-Mediated Arabic–English Interaction: Rethinking Meaning Construction in Digital Dialogues
Keywords:
Artificial Intelligence, Digital Pragmatics, Arabic-English Bilingualism, Neurocognitive Adaptation, Algorithmic Mimicry.Abstract
The transformation of communication in the digital era has shifted human interaction toward technology-mediated engagement, where Artificial Intelligence (AI) now functions as an active "digital actor" mediating the construction of meaning. This study aims to analyze how meaning is reconstructed in Arabic-English bilingual interactions mediated by AI through a neuro-pragmatic approach. Employing a descriptive qualitative method, the research relies on a digital corpus of interactions between bilingual speakers and the ChatGPT and Gemini platforms, collected via purposive sampling and Computer-Mediated Discourse (CMD) 2.0 simulations. The primary findings indicate a paradigm shift from intersubjectively negotiated meaning toward algorithmically predicted meaning. The study identifies the phenomenon of Algorithmic Mimicry, where users cognitively adjust their communicative strategies by simplifying linguistic structures to align with machine processing logic. Furthermore, the research uncovered Contextual Amnesia in AI, referring to the system's failure to maintain semantic coherence during rapid code-switching. Theoretically, this study contributes an integrative model bridging neurocognitive aspects with digital pragmatic realities, emphasizing the importance of developing pragmatic competence to navigate the "hidden agency" of AI algorithms.
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