Special Panel 3b: Data-driven Communication Research: Paradigmatic Shift and Methodological Innovation Part 2 of 2
Part 2 of 2
Shaojing Sun, Ying Ding, Giuseppe Veltri, Hongzhong Zhang, Li Tang, Yuxiang Zhao, Yujia Zhai
Over the past decade, the growing amount of accessible data, including but not limited to academic publications, media contents, and social tweets, has brought both opportunities and challenges to social and behavioral science researchers. Advances of data analytics, on the other hand, open a new window for researchers to look at human communication processes. Traditionally, empirical communication research is more built on deductive reasoning, finite sampling, and parametric statistics. Now, data-driven research affords a panoramic view and innovative analysis of large-scale data. As such, this SIE is aimed to achieve the following goals: 1) to elucidate the linkage between data science and communication studies; 2) to introduce methods and tools which can inform communication and new technology studies; 3) to illustrate how data-driven research can help address substantive communication questions.
|No contributions were assigned to this session.|