When Communication Meets Computation: Opportunities, Challenges, and Pitfalls in Computational Communication Science

被引:94
|
作者
van Atteveldt, Wouter [1 ]
Tai-Quan Peng [2 ]
机构
[1] Vrije Univ Amsterdam, Dept Commun Sci, Amsterdam, Netherlands
[2] Michigan State Univ, Dept Commun, E Lansing, MI 48824 USA
关键词
BIG DATA; MEASUREMENT ERROR; SOCIAL-SCIENCE; P-VALUES; MODELS; MEDIA; PREDICTION; KNOWLEDGE; ACCURACY; DYNAMICS;
D O I
10.1080/19312458.2018.1458084
中图分类号
G2 [信息与知识传播];
学科分类号
05 ; 0503 ;
摘要
The recent increase in digitally available data, tools, and processing power is fostering the use of computational methods to the study of communication. This special issue discusses the validity of using big data in communication science and showcases a number of new methods and applications in the fields of text and network analysis. Computational methods have the potential to greatly enhance the scientific study of communication because they allow us to move towards collaborative large-N studies of actual behavior in its social context. This requires us to develop new skills and infrastructure and meet the challenges of open, valid, reliable, and ethical "big data" research. By bringing together a number of leading scholars in one issue, we contribute to the increasing development and adaptation of computational methods in communication science.
引用
收藏
页码:81 / 92
页数:12
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