传播大数据专题导论

Q3 Social Sciences Review of Communication Pub Date : 2023-01-02 DOI:10.1080/15358593.2023.2187270
S. Croucher
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引用次数: 1

摘要

当我被选为《传播评论》的编辑时,我想到的第一个主题是一本关于传播中的大数据的杂志。我之所以关注通信中的大数据,主要有三个原因。首先,在过去的20年里,有许多高质量的通信大数据研究。其中许多研究主要涉及大众传播、政治传播、信息和传播以及数字传播领域。然而,越来越多的研究开始在健康沟通、人际沟通和其他“沟通”学科中使用大数据。其次,我对这个话题的兴趣源于Parks(2014)的共同兴趣,他在关于通信中的大数据的特刊中希望为研究创新提供一个基准。帕克斯在他的特刊后记中讨论了当时在大数据方面所做的工作有多少可能经不起时间的考验,但会指导未来的工作。因此,我想为研究人员提供一个渠道,让他们在通信大数据领域取得方法上的进展。第三个原因更为个人化。在过去的六年里,我一直在与大数据密切合作。我所在的大学有一个分析硕士项目,作为校长,我与理学院和商学院的学者密切合作,指导硕士生使用大数据探索多个跨学科问题。我很幸运,甚至在一些学生发表作品时,为他们的硕士论文提供建议。从官僚的角度和研究的角度来看,我已经成为大数据运动的一部分。在这期主题文章中,我想看看传播学者是如何运用大数据的。我希望本期主题文章能代表通信和大数据的多样性,推动通信中大数据领域的发展,并激发你对这个日益增长的调查领域的兴趣。那么,什么是大数据呢?大数据是指由人、工具和机器创建的大量、动态和不同的数据。在本期主题文章的每一篇文章中,“大数据”都有不同的概念和操作。然而,每篇文章的共同点是,每篇都展示了沟通方式的多样性
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Introduction to themed issue on big data in communication
When I was selected to be the editor for the Review of Communication, the first themed issue I had in mind was one that addressed big data in communication. I had three main reasons for focusing on big data in communication. First, over the past 20 years, there have been numerous high-quality big data studies in communication. Many of these studies have predominantly fallen within the realms of mass communication, political communication, information and communication, and digital communication. However, increasingly, studies have started to employ big data within health communication, interpersonal communication, and other “communication” disciplines. Second, my interest in this topic stemmed from the same interest shared by Parks (2014), who in his special issue on big data in communication wanted to provide a benchmark for research innovation. In his special issue afterword, Parks discussed how much of the work being done on big data at the time might not stand the test of time but would guide future work. Thus, I wanted to provide an outlet for researchers to methodologically progress the field of big data in communication. The third reason was more personal in nature. I have been working closely with big data for the past six years. My university has a Master’s of Analytics program, and in my role as Head of School, I have worked closely with academics from the College of Science, and College of Business to mentor master’s students using big data to explore multiple interdisciplinary questions. I have been fortunate enough to even advise a few students on their master’s theses as they published their works. I had become a part of the Big Data Movement from a bureaucratic point of view and then a research point of view. In this themed issue, I wanted to see how communication scholars were employing big data. It is my hope that the articles in this themed issue represent the diversity of communication and big data, progress the field of big data in communication, and pique your own interest in this growing field of inquiry. So, what is big data? Big data refers to large, dynamic, and distinct volumes of data created by people, tools, and machines. In each of the articles within this themed issue, “big data” is conceptualized and operationalized differently. However, what each article has in common is that each article shows the diversity of how the communication
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来源期刊
Review of Communication
Review of Communication Social Sciences-Communication
CiteScore
1.70
自引率
0.00%
发文量
16
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