Citation

An Analytic Method for Computer-Mediated Communication (CMC): Distinguishing the Message Expression and Reception Effects in Online Social Networks

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Abstract:

This paper describes how computer-mediated communication (CMC) data collected from an eHealth system can be used for online social network analysis, which allows for complex understanding of the relationships between message expression and reception effects. The proposed methodology allows us to examine the multi-layered effects of online expression and reception, combining the following three data sets: 1) a more flexible and precise computer-aided content analysis; 2) action log data; and 3) longitudinal survey data.

Most Common Document Word Stems:

messag (88), support (80), data (71), social (60), group (60), communic (58), analysi (56), express (52), network (47), code (47), et (43), al (43), recept (42), emot (42), effect (40), rule (40), comput (38), use (37), onlin (36), d (32), content (32),
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Association:
Name: Association for Education in Journalism and Mass Communication
URL:
http://www.aejmc.org


Citation:
URL: http://citation.allacademic.com/meta/p520801_index.html
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MLA Citation:

Namkoong, Kang., Shah, Dhavan., McLaughlin, Bryan., Han, Jeong Yeob., Chih, Ming-Yuan., Cleland, Rich., Hull, Shawnika., Kim, Eunkyung. and Kim, Sojung (Claire). "An Analytic Method for Computer-Mediated Communication (CMC): Distinguishing the Message Expression and Reception Effects in Online Social Networks" Paper presented at the annual meeting of the Association for Education in Journalism and Mass Communication, Renaissance Grand & Suites Hotel, St. Louis, MO, Aug 10, 2011 <Not Available>. 2014-11-25 <http://citation.allacademic.com/meta/p520801_index.html>

APA Citation:

Namkoong, K. , Shah, D. , McLaughlin, B. , Han, J. , Chih, M. , Cleland, R. , Hull, S. , Kim, E. and Kim, S. , 2011-08-10 "An Analytic Method for Computer-Mediated Communication (CMC): Distinguishing the Message Expression and Reception Effects in Online Social Networks" Paper presented at the annual meeting of the Association for Education in Journalism and Mass Communication, Renaissance Grand & Suites Hotel, St. Louis, MO Online <APPLICATION/PDF>. 2014-11-25 from http://citation.allacademic.com/meta/p520801_index.html

Publication Type: Conference Paper/Unpublished Manuscript
Review Method: Peer Reviewed
Abstract: This paper describes how computer-mediated communication (CMC) data collected from an eHealth system can be used for online social network analysis, which allows for complex understanding of the relationships between message expression and reception effects. The proposed methodology allows us to examine the multi-layered effects of online expression and reception, combining the following three data sets: 1) a more flexible and precise computer-aided content analysis; 2) action log data; and 3) longitudinal survey data.


Similar Titles:
The Effect of Computer-Mediated Social Support in Online Communities on Patient Empowerment and Doctor-Patient Communication

Empathic Exchanges in Online Cancer Support Groups: Distinguishing Message Expression and Reception Effects

Predictors of the Change in the Expression of Emotional Support Within Online Breast Cancer Support Groups: A Longitudinal Study


 
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