人类社会已经进入了计算社会科学时代，新的新闻生产方式和研究范式的确立给传统新闻学研究带来了挑战和机遇。计算社会科学从数据、计算方法、网络科学理论等多个层面丰富了新闻学研究。本文尝试梳理计算社会社会科学的发展脉络，总结代表性成果，分析其对新闻学研究的影响。本文最后讨论了计算传播学，强调了从研究问题、数据、模式、机制和基本原理的角度来理解新闻学研究。
引用: 王成军(2017).计算社会科学视野下的新闻学研究：挑战与机遇. 新闻大学,(04):26-32 （入选人大复印资料新闻与传播2017年第10期）
WANG Cheng-Jun1
[Abstract] Our society has entered the brand new era of computational social science. The new style of news production and the new paradigm of computational social science created both challenges and opportunities for the development of classic journalism research, which empower journalism research in the aspects of data, computational methods, network theory, and etc. This article aims to review the research on computational social science, especially its potential applications in journalism research. Finally, we offer a discussion on establishing the framework of computational communication research for better understanding of journalism research, with an emphasis on big questions, data, patterns, mechanisms, and general principles. [Key Words] Computational Social Science; Journalism; Network Science; Big Data； Computational Communication Research
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Computational Communication Collaboratory, School of Journalism and Communication, Nanjing University, Nanjing, Jiangsu, China, 210093 ↩︎