TY - GEN
T1 - Investigating influential factors influencing users to share news in social media
T2 - 13th ACM/IEEE-CS Joint Conference on Digital Libraries, JCDL 2013
AU - Ma, Long
AU - Lee, Chei Sian
AU - Goh, Dion Hoe Lian
PY - 2013
Y1 - 2013
N2 - This study aims to investigate the factors influencing news sharing in social media. Drawing from the diffusion of innovations theory (DOI), the influential factors identified are opinion leadership, homophily, tie strength, and news attributes. By incorporating social network analysis with multiple regression analysis, our results indicate that opinion leadership was the strongest factor predicting users' news sharing, followed by news attribute and tie strength. Unexpectedly, we also found that homophily hampered news sharing in social media. Implications are discussed.
AB - This study aims to investigate the factors influencing news sharing in social media. Drawing from the diffusion of innovations theory (DOI), the influential factors identified are opinion leadership, homophily, tie strength, and news attributes. By incorporating social network analysis with multiple regression analysis, our results indicate that opinion leadership was the strongest factor predicting users' news sharing, followed by news attribute and tie strength. Unexpectedly, we also found that homophily hampered news sharing in social media. Implications are discussed.
KW - Diffusion of innovations theory
KW - News sharing
KW - Social media
KW - Social network analysis
UR - http://www.scopus.com/inward/record.url?scp=84882252731&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=84882252731&partnerID=8YFLogxK
U2 - 10.1145/2467696.2467749
DO - 10.1145/2467696.2467749
M3 - Conference contribution
AN - SCOPUS:84882252731
SN - 9781450320764
T3 - Proceedings of the ACM/IEEE Joint Conference on Digital Libraries
SP - 403
EP - 404
BT - JCDL 2013 - Proceedings of the 13th ACM/IEEE-CS Joint Conference on Digital Libraries
Y2 - 22 July 2013 through 26 July 2013
ER -