Applying user analytics to uses and effects of social media in China
Research output: Journal Publications and Reviews › RGC 21 - Publication in refereed journal › peer-review
Author(s)
Related Research Unit(s)
Detail(s)
Original language | English |
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Pages (from-to) | 291-306 |
Journal / Publication | Asian Journal of Communication |
Volume | 29 |
Issue number | 3 |
Online published | 8 Apr 2019 |
Publication status | Published - 2019 |
Link(s)
Abstract
We introduce what user analytics can do in the first half of the paper and then illustrate how to do user analytics in the second half. In the current context, user analytics refers to a set of diverse communication research methods on uses and effects of social media. User analytics has evolved from TV ratings research to online user research. The history illustrates what data sources, measures, and analyses can be used for what types of research questions under user analytics. We discuss the similarities of and differences between user analytics and other methods of computational communication research (e.g. content mining and online experiments), and compare the strengths and weaknesses of user analytics with traditional quantitative methods (e.g. survey). Finally, we present an application study of Chinese bloggers to demonstrate how to employ user analytics methods to study the production, consumption, and effects of user-generated content.
Research Area(s)
- behavioral measures, found data, media effects, media exposure, User-generated content
Citation Format(s)
Applying user analytics to uses and effects of social media in China. / Zhu, Jonathan J. H.; Zhou, Yixin; Guan, Lu et al.
In: Asian Journal of Communication, Vol. 29, No. 3, 2019, p. 291-306.
In: Asian Journal of Communication, Vol. 29, No. 3, 2019, p. 291-306.
Research output: Journal Publications and Reviews › RGC 21 - Publication in refereed journal › peer-review