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Social and Behavioral Sciences Commons

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Community-Based Research

Community & Leadership Development Faculty Publications

Expression effects

Publication Year

Articles 1 - 2 of 2

Full-Text Articles in Social and Behavioral Sciences

Expression And Reception: An Analytic Method For Assessing Message Production And Consumption In Cmc, Kang Namkoong, Dhavan V. Shah, Bryan Mclaughlin, Ming-Yuan Chih, Tae Joon Moon, Shawnika Hull, David H. Gustafson Apr 2017

Expression And Reception: An Analytic Method For Assessing Message Production And Consumption In Cmc, Kang Namkoong, Dhavan V. Shah, Bryan Mclaughlin, Ming-Yuan Chih, Tae Joon Moon, Shawnika Hull, David H. Gustafson

Community & Leadership Development Faculty Publications

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 …


Predictors Of The Change In The Expression Of Emotional Support Within An Online Breast Cancer Support Group: A Longitudinal Study, Woohyun Yoo, Ming-Yuan Chih, Min-Woo Kwon, Junghwan Yang, Eunji Cho, Bryan Mclaughlin, Kang Namkoong, Dhavan V. Shah, David H. Gustafson Jan 2013

Predictors Of The Change In The Expression Of Emotional Support Within An Online Breast Cancer Support Group: A Longitudinal Study, Woohyun Yoo, Ming-Yuan Chih, Min-Woo Kwon, Junghwan Yang, Eunji Cho, Bryan Mclaughlin, Kang Namkoong, Dhavan V. Shah, David H. Gustafson

Community & Leadership Development Faculty Publications

OBJECTIVES: To explore how the expression of emotional support in an online breast cancer support group changes over time, and what factors predict this pattern of change.

METHODS: We conducted growth curve modeling with data collected from 192 participants in an online breast cancer support group within the Comprehensive Health Enhancement Support System (CHESS) during a 24-week intervention period.

RESULTS: Individual expression of emotional support tends to increase over time for the first 12 weeks of the intervention, but then decrease slightly with time after that. In addition, we found that age, living situation, comfort level with computer and the …