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Original Article | Volume 2 Issue 4 (ACR, 2025) | Pages 3233 - 3241
Digital Communication, AI, and Language Evolution: Understanding Online English in Industry 5.0
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Designation: Assistant Professor Department: Department of English Institute: EMEA College of Arts and Science, Kondotty District: Malappuram City: Kondotty State: Kerala
2
SRM Institute of Science and Technology, Faculty of Management
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Rajju Shroff ROFEL University Associate Professor
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Designation: HOD and Assistant Professor Department: English Institute: R B Mundada College of Arts, Commerce and Science District: Pune City: Pune State: Maharashtra
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Designation: Area Chair Department: Business Communication Institute: Management Development Institute Murshidabad,West Bengal District: Murshidabad City: Raghunathganj State:West Bengal
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Teerthankar Mahaveer university moradabad uttar pradesh Assistant professor College of law legal studies
Under a Creative Commons license
Open Access
Abstract

With the introduction of Industry 5.0, the mode of digital communication and the means of communication have changed, which brought a paradigm shift in English utilization, understanding, and development on the internet. This article reflects on how Artificial Intelligence (AI), digital communication tools, and development of online language practices in the English language exist in Industry 5.0 scenarios. Within the framework of investigating AI-mediated communication, the work considers the aspects of language production in embodied in the use of language models created by AI and the ways in which it affects lexical tendencies, changing grammar, and discourse conventions by studying the text coronas in AI-mediated communication platform, like chatbots, virtual assistants and automated work system. It involves data analytics based on Natural Language Processing (NLP) with sociolinguistics in order to chart the syntactic variability and semantic change of online English. Important observations indicate that AI agents do not merely mirror but also conform to the emerging digital dialects characterized by brevity, context-controlled syntax and hybridization with emotive code and multimodal gestures. The paper notes how online English in industry 5.0 has a co-evolution of AI system and is dynamic, decentralized communication. It has serious implications on content moderation, cross-cultural communication, digital literacy, and language policy regarding human-machine encounters.

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