Call for Chapters: Reconceptualizing Linguistic Change and Public Relations in the AI Era

Editors

Shahid Minhas, RMIT University Vietnam, Viet Nam
Ananya Mehta, RMIT University Vietnam, Viet Nam
Duong Tran, RMIT University Vietnam, Viet Nam

Call for Chapters

Proposals Submission Deadline: May 20, 2026
Full Chapters Due: August 12, 2026
Submission Date: August 12, 2026

Introduction

The rapid integration of artificial intelligence (AI) into everyday communicative practices has precipitated a profound transformation in how language is produced, circulated, interpreted, and regulated. Across digital platforms, institutional communication, and mediated public discourse, language is increasingly co-shaped by algorithmic systems that predict, automate, translate, recommend, and categorize meaning. These developments mark a decisive shift from earlier phases of computer-mediated communication toward a new socio-technical configuration in which linguistic change and public relations practices are no longer exclusively human-centered but are deeply entangled with computational agency. This edited volume responds to the growing need for theory-driven, empirically grounded, and critically reflective scholarship that examines linguistic change and public relations under conditions of algorithmic mediation. While existing research has explored digital discourse, social media communication, and strategic communication separately, fewer studies have addressed how AI technologies simultaneously reconfigure language practices, communicative norms, and professional public relations in interconnected ways. Hence, this book advances an integrated understanding of communication in the AI era, one that treats language not merely as a tool shaped by technology, but as a dynamic site where human intention, institutional power, and algorithmic logic intersect. From predictive text systems and machine translation to sentiment analysis and automated content generation, AI-driven tools increasingly influence lexical choices, syntactic patterns, stylistic conventions, and discursive strategies. These technologies do not simply reflect existing language use; they actively participate in shaping communicative possibilities. In doing so, they raise fundamental questions about linguistic agency, authorship, creativity, and authority. When public messages are optimized by algorithms, translated by neural networks, or delivered through synthetic agents, traditional distinctions between speaker and system, writer and tool, persuasion and computation become blurred. The implications are particularly significant for public relations, a field whose core function is to manage meaning, relationships, trust, and legitimacy in dynamic public spheres. This volume reconceptualizes public relations as a practice that is mediated by language and technology, situated within algorithmic environments. The rise of AI-driven analytics, audience segmentation, and automated messaging increasingly shapes how organizations communicate with stakeholders, manage crises, and construct public narratives. Concurrently, the publics engage in meaning-making through platform-specific vernaculars, multimodal expressions, and hybrid linguistic repertoires, which challenge the norms of standardized or institutionally sanctioned communication. Consequently, we observe a complex communicative ecology where professional strategic communication coexists with, and often competes against, participatory discourse that is amplified by algorithms. The book focuses on linguistic change as a cultural and political process influenced by AI. It highlights how algorithmic systems can perpetuate historical inequalities and marginalize minority languages and communication norms. The contributors examine the impact of AI on language policy, inclusion, and representation, particularly in multilingual and postcolonial contexts with uneven digital infrastructures. The book emphasizes communication practices in diverse settings, challenging the notion of a universal AI-driven change and showcasing local innovations and resistance. Thematically, it integrates topics like algorithmic mediation, social media linguistics, and AI ethics, while employing interdisciplinary methodologies such as critical discourse analysis and linguistic ethnography. Finally, the volume proposes a critical understanding of communication in the AI era, illustrating how AI influences meaning production and public relations as a site of linguistic struggle, offering valuable insights for scholars and practitioners.

Objective

The primary objective of this edited volume is to advance a systematic and interdisciplinary understanding of how artificial intelligence is reshaping linguistic change and public relations within contemporary communicative environments. The book seeks to move beyond descriptive accounts of digital communication by offering conceptual, empirical, and critical engagements with AI as an active force in the production, circulation, and governance of meaning. Specifically, this volume aims to reconceptualize linguistic change by examining how algorithmic systems like predictive text, machine translation, content moderation, and generative AI participate in shaping linguistic forms, communicative norms, and discursive practices. By foregrounding AI as a linguistic actor rather than a neutral tool, the book contributes to emerging debates on agency, authorship, and the socio-technical conditions of language change. A further objective is to theoretically design public relations as an AI-mediated linguistic practice. The volume explores how automation, data analytics, and platform algorithms transform strategic communication, audience engagement, crisis response, and meaning management. In doing so, it extends public relations scholarship by integrating insights from linguistics, discourse studies, and critical technology studies. The book also seeks to address gaps in current literature regarding power, inequality, and inclusion in AI-driven communication. By examining language policy, representation, and access in multilingual and digitally diverse contexts, the volume contributes critical perspectives on how AI may reinforce or challenge linguistic hierarchies, cultural marginalization, and communicative exclusion. Finally, the volume aims to set a future-facing research agenda for scholars and practitioners by identifying emerging communicative forms, ethical challenges, and methodological approaches relevant to the AI era. By bringing together regionally grounded case studies and theoretical interventions, the book offers a foundation for rethinking communication, language, and public relations in increasingly algorithmic public spheres, thereby adding sustained conceptual depth and empirical relevance to current scholarship.

Target Audience

This book is basically aimed at academic researchers, graduate students, and advanced undergraduates in the fields of linguistics, communication studies, public relations, media and cultural studies, applied linguistics, digital sociology, and AI ethics. Scholars exploring language change, discourse, and meaning-making in digitally mediated contexts will find value in the book's interdisciplinary frameworks and empirically grounded analyses of AI-driven communication. The volume is also highly relevant for public relations scholars and practitioners seeking to understand how artificial intelligence reshapes strategic communication, audience engagement, reputation management, and crisis communication. By foregrounding language as a central dimension of AI-mediated public relations, the book offers conceptual tools and critical insights that extend beyond managerial or technical accounts of automation. In addition, the book will serve as a valuable resource for policy analysts, educators, and professionals working in digital governance, language planning, media regulation, and communication education. Its discussions of linguistic inclusion, algorithmic bias, and AI ethics provide actionable perspectives for those concerned with equitable and responsible communication practices in institutional and public contexts.

Recommended Topics

• AI-mediated linguistic change and evolving communication norms • Algorithmic agency, authorship, and participation in language production • Predictive text, machine translation, and generative AI as drivers of linguistic innovation • Digital discourse, multimodality, and semiotic change in AI-driven environments • Social media linguistics: code-mixing, translanguaging, and platform vernaculars • Platform-specific communication cultures (e.g., TikTok, Instagram, WeChat, WhatsApp) • Linguistic creativity and constraint under algorithmic optimization • AI, language policy, and the representation of minority and marginalized languages • Data colonialism, linguistic inequality, and digital sovereignty • Ethical issues in AI-mediated communication: transparency, bias, and accountability • AI-driven public relations analytics, audience segmentation, and personalization • Automated PR messaging, chatbots, and virtual communicators • Crisis communication and reputation management in algorithmic public spheres • Trust, authenticity, and persuasion in AI-assisted public communication • Human–AI interaction as a communicative and discursive practice • Implications of AI for professional writing, translation, and media production • Digital literacy, communicative competence, and education in the AI era • Youth communication, identity formation, and cultural change through AI technologies • Cross-cultural and multilingual perspectives on AI and public relations • Future-oriented theories of language, communication, and public relations in algorithmic societies

Submission Procedure

Researchers and practitioners are invited to submit on or before May 20, 2026, a chapter proposal of 1,000 to 2,000 words clearly explaining the mission and concerns of his or her proposed chapter. Authors will be notified by June 3, 2026 about the status of their proposals and sent chapter guidelines.Full chapters of a minimum of 10,000 words (word count includes references and related readings) are expected to be submitted by August 12, 2026, and all interested authors must consult the guidelines for manuscript submissions at https://www.igi-global.com/publish/contributor-resources/before-you-write/ prior to submission. All submitted chapters will be reviewed on a double-anonymized review basis. Contributors may also be requested to serve as reviewers for this project.

Note: There are no submission or acceptance fees for manuscripts submitted to this book publication, Reconceptualizing Linguistic Change and Public Relations in the AI Era. All manuscripts are accepted based on a double-anonymized peer review editorial process.

All proposals should be submitted through the eEditorial Discovery® online submission manager.

Publisher

This book is scheduled to be published by IGI Global Scientific Publishing, an international academic publisher of the "Information Science Reference", "Medical Information Science Reference", "Business Science Reference", and "Engineering Science Reference" imprints. IGI Global Scientific Publishing specializes in publishing reference books, scholarly journals, and electronic databases featuring academic research on a variety of innovative topic areas including, but not limited to, education, social science, medicine and healthcare, business and management, information science and technology, engineering, public administration, library and information science, media and communication studies, and environmental science. For additional information regarding the publisher, please visit https://www.igi-global.com. This publication is anticipated to be released in 2027.

Indexing Information for Prospective Authors

IGI Global Scientific Publishing meets the criteria for inclusion in major indexing services such as Scopus; however, it is important to note that all indexing decisions are made independently by these services. IGI Global Scientific Publishing books are selectively indexed by the indexing organization after publication. Indexing cannot be guaranteed for any book prior to publication, and the indexing organization has complete control over the final selection and timeline.

Important Dates

May 20, 2026: Proposal Submission Deadline
June 3, 2026: Notification of Acceptance
August 12, 2026: Full Chapter Submission
September 23, 2026: Review Results Returned
October 21, 2026: Final Acceptance Notification
October 28, 2026: Final Chapter Submission

Inquiries

Shahid Minhas
RMIT University Vietnam
shahid.minhas@rmit.edu.vn

Ananya Mehta
RMIT University Vietnam
ananyamanmathbhai.mehta@rmit.edu.vn

Duong Tran
RMIT University Vietnam
duong.tranhoang@rmit.edu.vn

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