Taxonomy for Social Network Data Types from the Viewpoint of Privacy and User Control

URN to cite this document:: urn:nbn:de:bvb:355-epub-282767
DOI to cite this document:: 10.5283/epub.28276

Richthammer, Christian ; Netter, Michael ; Riesner, Moritz ; Pernul, Günther

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Date of publication of this fulltext: 31 May 2013 10:59

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Item type:	Conference or workshop item (Paper)
Date:	2013
Institutions:	Business, Economics and Information Systems > Institut für Wirtschaftsinformatik > Lehrstuhl für Wirtschaftsinformatik I - Informationssysteme (Prof. Dr. Günther Pernul) Informatics and Data Science > Department Information Systems > Lehrstuhl für Wirtschaftsinformatik I - Informationssysteme (Prof. Dr. Günther Pernul)
Keywords:	Online Social Networks, Taxonomy, Privacy, Data Types, Social Identity Management, Classification
Dewey Decimal Classification:	000 Computer science, information & general works > 004 Computer science
Status:	Published
Refereed:	Yes, this version has been refereed
Created at the University of Regensburg:	Yes
Item ID:	28276

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Abstract

The growing relevance and usage intensity of Online Social Networks (OSNs) along with the accumulation of a large amount of user data has led to privacy concerns among researchers and end users. Despite a large body of research addressing OSN privacy issues, little differentiation of data types on social network sites is made and a generally accepted classification and terminology for such data ...

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