Large-scale analysis of self-disclosure patterns among online social networks users: a Russian context

Online social network services (SNS) provide an unprecedented rich source of information about millions of users worldwide. However, most existing studies of this emerging phenomenon are limited to relatively small data samples, with an emphasis on mostly “western” online communities (such as Facebo...

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Veröffentlicht in:	Knowledge and information systems 2012-09, Vol.32 (3), p.609-628
Hauptverfasser:	Kisilevich, Slava, Ang, Chee Siang, Last, Mark
Format:	Artikel
Sprache:	eng
Schlagworte:	Age Applied sciences Cluster analysis College students Communication Communities Community Computer Science Computer science control theory systems Computer systems and distributed systems. User interface Cultural differences Data Mining and Knowledge Discovery Database Management Disclosure Exact sciences and technology Gender Gender differences Information Storage and Retrieval Information systems Information Systems and Communication Service Information Systems Applications (incl.Internet) Instant messaging Internet IT in Business On-line systems Online Personal information Privacy Regular Paper Segments Social networks Social research Software Studies Virtual communities
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