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《人工智能时代的国际传播现状与案例》征稿启事
Huan Qiu Wang Zi Xun·2025-07-14 05:47

Core Viewpoint - The Global Times and Beijing Normal University are collaborating to explore the profound changes brought by intelligent technology in international communication, planning to publish a book titled "Current Status and Cases of International Communication in the Age of Artificial Intelligence" between 2025 and 2026, and are inviting case submissions from the public [1][3][4]. Group 1: Publication Overview - The planned publication will consist of two main sections: an independent research report and a selection of innovative industry application cases, aiming to summarize current practices and extract forward-looking methodologies for international communication practitioners [4]. - The book is intended to provide replicable innovative paradigms for professionals in international communication [4]. Group 2: Call for Submissions - The project invites submissions from various entities including government, enterprises, universities, commercial groups, NGOs, and individuals, focusing on the application of intelligent technology in international communication [5][21]. - The submission period is open from now until August 31, 2025, with selected cases to be acknowledged in the publication and authors receiving a copy of the case collection [6][22]. Group 3: Submission Guidelines - Cases should demonstrate the application of intelligent technology in international communication, with a focus on authenticity, innovation, and representativeness [23][25]. - Submissions can be made in two formats: a document not exceeding 3000 words or a complete material package [8][24]. Group 4: Themes for Case Studies - The call for cases emphasizes seven categories of intelligent technology applications, including AI-driven content planning, intelligent translation, virtual ambassadors, immersive experiences, AI model applications, intelligent distribution, and audience insights [9][27]. - Each category aims to explore specific applications of technologies such as big data, AI, machine learning, natural language processing, computer vision, virtual reality (VR), augmented reality (AR), and large language models [9][27].