文章基本信息

标题：Big data and digital methods in science communication research: opportunities, challenges and limits
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作者：Pitrelli, Nico
期刊名称：Journal of Science Communication
印刷版ISSN：1824-2049
电子版ISSN：1824-2049
出版年度：2017
卷号：16
期号：2
出版社：International School for Advanced Studies
摘要：Computational social science represents an interdisciplinary approach to the study of reality based on advanced computer tools. From economics to political science, from journalism to sociology, digital approaches and techniques for the analysis and management of large quantities of data have now been adopted in several disciplines. The papers in this JCOM commentary focus on the use of such approaches and techniques in the research on science communication. As the papers point out, the most significant advantages of a computational approach in this sector include the chance to open up a range of new research opportunities: from the study of technical and scientific controversies to citizen science, from the definition of new norms and practices for science journalism to open science issues. On the other hand, difficulties are shared with other areas of application. The main risk is that the large quantity of data available can overwhelm the importance of theory. Instead, as the papers in this commentary demonstrate, big data should push scientists to pursue a deeper epistemological and methodological reflection also in the research on science communication.
关键词：Science and media;Science communication: theory and models;Visual communication