Title
Effects of System Characteristics on Users' Self-Disclosure in Social Networking Sites
Abstract
Social networking sites (SNSs) (e.g., Facebook) are increasingly used in people's daily life and business worlds. With SNSs, people's social networks are expanded by connecting to others with shared interests or values based on other users' self-disclosed personal information. Business organizations can mine the personal information embedded in SNSs to identify potential customers to generate revenues. However, the benefits of SNSs cannot be completely achieved if their users do not disclose enough personal information. In this research, we relate users' self-disclosure intentions and self-disclosure behaviors to certain characteristics of SNSs based on Technology Acceptance Model. Our research model is empirically tested through an online survey of 113 users in the context of Renren, the most popular SNS in China, and we find that users' perceived usefulness and perceived ease of use of a SNS closely associate with their self-disclosure intentions, which further leads to users' actual self-disclosure behaviors.
Year
DOI
Venue
2010
10.1109/ITNG.2010.23
ITNG
Keywords
Field
DocType
social network,business organizations,social aspects of automation,technology acceptance model (tam),self-disclosure behavior,china,system characteristics,self-disclosure intention,business organization,renren (xiaonei),self-disclosed personal information,actual self-disclosure behavior,popular sns,online survey,business world,social networking (online),research model,personal information,social networking sites,renren,user self disclosed personal information,business,context modeling,reliability,data models
Revenue,Data modeling,Internet privacy,Social network,Computer science,Usability,Technology acceptance model,Computer network,Knowledge management,Context model,Personally identifiable information,Self-disclosure
Conference
ISBN
Citations 
PageRank 
978-1-4244-6270-4
8
0.47
References 
Authors
7
3
Name
Order
Citations
PageRank
Yanli Jia181.14
Yi Zhao212131.91
Yuli Lin380.47