Why we twitter: understanding microblogging usage and communities
Proceedings of the 9th WebKDD and 1st SNA-KDD 2007 workshop on Web mining and social network analysis
Feed me: motivating newcomer contribution in social network sites
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Analysis of terrorist social networks with fractal views
Journal of Information Science
Twitter power: Tweets as electronic word of mouth
Journal of the American Society for Information Science and Technology
Network and content analysis in an online community discourse
CSCL '02 Proceedings of the Conference on Computer Support for Collaborative Learning: Foundations for a CSCL Community
Analysis of participation in an online photo-sharing community: A multidimensional perspective
Journal of the American Society for Information Science and Technology
Gen X and Ys attitudes on using social media platforms for opinion sharing
CHI '10 Extended Abstracts on Human Factors in Computing Systems
Real time search user behavior
CHI '10 Extended Abstracts on Human Factors in Computing Systems
Journal of Information Science
Being networked and being engaged: the impact of social networking on ecommerce information behavior
Proceedings of the 2011 iConference
Trending Twitter topics in English: An international comparison
Journal of the American Society for Information Science and Technology
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Teenagers and young adults form an economically critical demographic group and are confronted with an array of internet social networking services just as they are forming online information seeking and sharing habits. Using a survey of 34,514 respondents from myYearbook.com, the research reported in this paper is an inferential analysis of information seeking and sharing behaviours in the ecommerce domain on four social networking sites (Facebook, MySpace, myYearbook and Twitter). Using k-means clustering analysis, we find clusters within this demographic based on levels of being connected on and being engaged with social networking services. Research results show that the majority of this demographic have accounts on multiple social networking sites, with more than 40% having profiles on three social networking sites and an additional 20% having four social networking accounts. We also investigate the motivations for using different social media sites, showing that the reasons for engaging differ among sites. Companies and organizations interested in marketing to this demographic cannot cluster social networking users for more personalized targeting of advertisements and other information.