Computational Communication: Fusion Media and Praxeology in Big Data
摘要截稿:
全文截稿: 2024-07-01
影响因子: 9.14
期刊难度:
CCF分类: 无
Overview
In an evolving digital landscape, Telematics and Informatics Reports is announcing a call for papers for its special issue “Computational Communication: Fusion Media and Praxeology in Big Data”. Fusion media, as a concept, represents the convergence of traditional and new media, demanding new analytical frameworks and approaches. Praxeology, to some extent, offers a lens through which the impact of these technologicaladvancements on human behavior and societal structures can be examined. This issue aims to collect innovative insights through computation methods combined with big data to bring new hints to understanding the mediaecosystem as well as praxeological behavior.
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Guest editor:
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Prof. Jianxun ChuProfessor of the Department of Science and Technology Communication, the Head of the School of Humanities and Social Sciences, University of Science and Technology of China (USTC).Areas of Expertise: computational communication, crisis communication, and science communication
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Special issue information:
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The relevance of computational communication has been underscored by recent global events. We’ve seen “downs” globally, such as the Infodemics during the COVID-19 pandemic, and the information warfare observed in the Russia-Ukraine conflict. We’ve also observed the innovational “ups”, such as the rapid rise of platforms such as TikTok and generative AI technologies such as ChatGPT. Like a double-edged sword, these phenomena highlight the critical need to understand and manage the vast amounts of information circulating in different spheres.
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Computational communication offers a powerful toolkit for analyzing big data, enabling researchers to discover complex media dynamics, understand public opinions, and develop strategies to combat information disorder, etc. Moreover, the rapid evolution of digital media and the explosion of big data have created both challenges and opportunities for communication studies.
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This special issue seeks to explore how computational tools and methods can be employed to understand, navigate, and innovate within this complex landscape. We’re expecting to have interdisciplinary contributions to understand and anticipate the trends and challenges.