Investigating Influential Factors Influencing Users to Share News in Social Media: A Diffusion of Innovations Perspective

被引：0

作者：

Ma, Long ^{[1
]}

Lee, Chei Sian ^{[1
]}

Goh, Dion Hoe-Lian ^{[1
]}

机构：

[1] Nanyang Technol Univ, Wee Kim Wee Sch Commun & Informat, Singapore, Singapore

来源：

JCDL'13: PROCEEDINGS OF THE 13TH ACM/IEEE-CS JOINT CONFERENCE ON DIGITAL LIBRARIES | 2013年

关键词：

Social media; news sharing; diffusion of innovations theory; social network analysis;

D O I：

暂无

中图分类号：

G25 [图书馆学、图书馆事业]; G35 [情报学、情报工作];

学科分类号：

1205 ; 120501 ;

摘要：

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

引用

页码：403 / 404

页数：2

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