Looking at, looking up or keeping up with people?: motives and use of facebook
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Predicting tie strength with social media
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Motivations to participate in online communities
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Social capital on facebook: differentiating uses and users
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Identifying social capital in the facebook interface
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Facebook as a toolkit: A uses and gratification approach to unbundling feature use
Computers in Human Behavior
Privacy: is there an app for that?
Proceedings of the Seventh Symposium on Usable Privacy and Security
The personality of popular facebook users
Proceedings of the ACM 2012 conference on Computer Supported Cooperative Work
Tie strength in question & answer on social network sites
Proceedings of the ACM 2012 conference on Computer Supported Cooperative Work
The role of social networks in information diffusion
Proceedings of the 21st international conference on World Wide Web
Perceptions of facebook's value as an information source
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Facebook and privacy: it's complicated
Proceedings of the Eighth Symposium on Usable Privacy and Security
Analysis of Ego Network Structure in Online Social Networks
SOCIALCOM-PASSAT '12 Proceedings of the 2012 ASE/IEEE International Conference on Social Computing and 2012 ASE/IEEE International Conference on Privacy, Security, Risk and Trust
Uses & gratifications of a facebook media sharing group
Proceedings of the 2013 conference on Computer supported cooperative work
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This study explores the links between motives for using a social network service and numerical measures of that activity. Specifically, it identified motives for Facebook use by employing a Uses and Gratifications (U&G) approach and then investigated the extent to which these motives can be predicted through usage and network metrics collected automatically via the Facebook API. In total, 11 Facebook usage metrics and eight personal network metrics served as predictors. Results showed that all three variable types in this expanded U&G frame of analysis (covering social antecedents, usage metrics, and personal network metrics) effectively predicted motives and highlighted interesting behaviors. To further illustrate the power of this framework, the intricate nature of privacy in social media was explored and relationships drawn between privacy attitudes (and acts) and measures of use and network structure.