TY - GEN
T1 - Supporters in deed - Studying online support provision from the perspective of social capital
AU - Huang, Kuang Yuan
AU - Chengalur-Smith, Indu Shobha
AU - Uzuner, Özlem
AU - Nambisan, Priya
AU - Choi, Namjoo
PY - 2012
Y1 - 2012
N2 - The phenomenon of social support - aid and assistance exchanged through social relationships and interpersonal transactions - has been studied for decades with a focus on discovering the mechanism that lies between support exchange and personal wellbeing. In the age of the Internet, researchers also have shifted their focus to online support exchange. However, little attention has been paid to conceptualizing the determinants of support provision in virtual support communities. Drawing from social capital theory, this study attempts to bridge this gap by presenting a model that applies the structural, relational, and cognitive dimensions of social capital to theorize the determinants of the provision of informational and emotional support in virtual support communities. Through the use of social network analysis and machine learning techniques, messages from a virtual support community for women with breast cancer are analyzed. The analysis results are used for empirically testing the framework modeling support provision.
AB - The phenomenon of social support - aid and assistance exchanged through social relationships and interpersonal transactions - has been studied for decades with a focus on discovering the mechanism that lies between support exchange and personal wellbeing. In the age of the Internet, researchers also have shifted their focus to online support exchange. However, little attention has been paid to conceptualizing the determinants of support provision in virtual support communities. Drawing from social capital theory, this study attempts to bridge this gap by presenting a model that applies the structural, relational, and cognitive dimensions of social capital to theorize the determinants of the provision of informational and emotional support in virtual support communities. Through the use of social network analysis and machine learning techniques, messages from a virtual support community for women with breast cancer are analyzed. The analysis results are used for empirically testing the framework modeling support provision.
KW - Machine learning
KW - Social capital
KW - Social support
KW - Virtual community
UR - http://www.scopus.com/inward/record.url?scp=84886483166&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=84886483166&partnerID=8YFLogxK
M3 - Conference contribution
AN - SCOPUS:84886483166
SN - 9781627486040
T3 - International Conference on Information Systems, ICIS 2012
SP - 3723
EP - 3735
BT - International Conference on Information Systems, ICIS 2012
T2 - International Conference on Information Systems, ICIS 2012
Y2 - 16 December 2012 through 19 December 2012
ER -