Expression and Reception: An Analytic Method for Assessing Message Production and Consumption in CMC
Abstract
This article presents an innovative methodology to study computer-mediated communication (CMC), which allows analysis of the multi-layered effects of online expression and reception. The methodology is demonstrated by combining the following three data sets collected from a widely tested eHealth system, the Comprehensive Health Enhancement Support System (CHESS): (1) a flexible and precise computer-aided content analysis; (2) a record of individual message posting and reading; and (3) longitudinal survey data. Further, this article discusses how the resulting data can be applied to online social network analysis and demonstrates how to construct two distinct types of online social networks—open and targeted communication networks—for different types of content embedded in social networks.
Document Type
Article
Publication Date
4-18-2017
Digital Object Identifier (DOI)
https://doi.org/10.1080/19312458.2017.1313396
Funding Information
National Cancer Institute (P50 CA095817-05).
Repository Citation
Namkoong, Kang; Shah, Dhavan V.; McLaughlin, Bryan; Chih, Ming-Yuan; Moon, Tae Joon; Hull, Shawnika; and Gustafson, David H., "Expression and Reception: An Analytic Method for Assessing Message Production and Consumption in CMC" (2017). Community & Leadership Development Faculty Publications. 5.
https://uknowledge.uky.edu/cld_facpub/5
Included in
Communication Technology and New Media Commons, Community-Based Research Commons, Digital Communications and Networking Commons, Leadership Studies Commons
Notes/Citation Information
Published in Communication Methods and Measures, v. 11, issue 3, p. 153-172.
© 2017 Taylor & Francis Group, LLC
The copyright holder has granted the permission for posting the article here.
This is an Accepted Manuscript of an article published by Taylor & Francis in Communication Methods and Measures on 18 Apr 2017, available online: http://www.tandfonline.com/10.1080/19312458.2017.1313396.