Citation

Predicting Retweet Behavior in Breast Cancer Social Networks: Network and Content Characteristics

Abstract | Word Stems | Keywords | Association | Citation | Similar Titles



Abstract:

The study explores how social media, especially Twitter, serves as a viable place for communicating about cancer on Twitter cancer community. Using a two-step analytic method that combines social network analysis and computer-aided content analysis, this study investigates 1) how different types of network structure explain a retweeting behavior, and 2) what type of tweet is retweeted and why some messages attract more interactions among users. The analysis has revealed that messages written by users who have a higher number of followers, a higher level of personal influence over the interaction, and closer relationships and similarities with other users were retweeted. In addition, a tweet message with higher level of positive emotion was retweeted, while a tweet message with higher level of tentative words was not retweeted.

Most Common Document Word Stems:

retweet (116), social (103), network (102), user (83), messag (65), twitter (58), behavior (56), cancer (55), word (50), inform (48), emot (40), studi (38), breast (38), communic (38), content (38), follow (37), use (34), tweet (34), predict (32), posit (31), 2010 (30),
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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/p745468_index.html
Direct Link:
HTML Code:

MLA Citation:

Kim, Eunkyung., Hou, Jiran., Han, Jeong-Yeob. and Himelboim, Itai. "Predicting Retweet Behavior in Breast Cancer Social Networks: Network and Content Characteristics" Paper presented at the annual meeting of the Association for Education in Journalism and Mass Communication, Le Centre Sheraton, Montreal, Canada, Aug 06, 2014 <Not Available>. 2014-12-19 <http://citation.allacademic.com/meta/p745468_index.html>

APA Citation:

Kim, E. , Hou, J. , Han, J. and Himelboim, I. , 2014-08-06 "Predicting Retweet Behavior in Breast Cancer Social Networks: Network and Content Characteristics" Paper presented at the annual meeting of the Association for Education in Journalism and Mass Communication, Le Centre Sheraton, Montreal, Canada Online <PDF>. 2014-12-19 from http://citation.allacademic.com/meta/p745468_index.html

Publication Type: Conference Paper/Unpublished Manuscript
Review Method: Peer Reviewed
Abstract: The study explores how social media, especially Twitter, serves as a viable place for communicating about cancer on Twitter cancer community. Using a two-step analytic method that combines social network analysis and computer-aided content analysis, this study investigates 1) how different types of network structure explain a retweeting behavior, and 2) what type of tweet is retweeted and why some messages attract more interactions among users. The analysis has revealed that messages written by users who have a higher number of followers, a higher level of personal influence over the interaction, and closer relationships and similarities with other users were retweeted. In addition, a tweet message with higher level of positive emotion was retweeted, while a tweet message with higher level of tentative words was not retweeted.


Similar Titles:
Predicting Health Information Seeking in an Interactive Cancer Communication System: An Interplay Between Perceived Social Support and Emotional Well-Being

Communication-Participation Behavior and Patient Satisfaction and Adherence Following the Delivery of Breast-Cancer Care: An Exploratory Study

Cáncer de seno en Twitter: A Network and Content Analysis of Social Support Spanish Language Cancer Twitter Talk


 
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