A Multimodal Discourse Strategy Perspective on AI-Empowered Broadcasting in the Promotion of Circular Economy Policies: A Review
DOI:
https://doi.org/10.70917/ijcisim-2025-0317Keywords:
Artificial Intelligence; Broadcasting; Circular Economy; Multimodal Discourse; Policy CommunicationAbstract
The growing urgency of environmental sustainability has positioned circular economy (CE) policies as a strategic priority in global governance. As a vital medium for public engagement, broadcasting has undergone substantial transformation with the integration of artificial intelligence (AI), giving rise to novel discourse strategies grounded in multimodality. This review critically examines existing scholarship at the intersection of AI-driven broadcasting, multimodal discourse analysis, and the dissemination of CE policies. It traces the evolution of broadcasting practices from traditional formats to AI-augmented systems and explores how AI technologies, such as speech synthesis, intelligent scripting, and multimodal coordination, reshape policy narratives. Drawing on theories of social semiotics and multimodal communication, the paper synthesizes findings on how voice, gesture, visual elements, and digital interactivity contribute to persuasive policy communication. Despite recent advances, significant challenges remain, including the lack of integrative theoretical frameworks and limited empirical analysis of AI-mediated environmental discourse. This review identifies key research gaps and outlines future directions for interdisciplinary inquiry into the ethical, communicative, and technological dimensions of AI-empowered broadcasting. By mapping the conceptual terrain of this emerging field, the paper aims to inform more effective and engaging strategies for promoting sustainable policy agendas.
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Copyright (c) 2025 ZiJun Wang

This work is licensed under a Creative Commons Attribution 4.0 International License.