2013 International Conference on Availability, Reliability and Security 2013
DOI: 10.1109/ares.2013.18
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Taxonomy for Social Network Data Types from the Viewpoint of Privacy and User Control

Abstract: 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 is missing, hence leading to confusion in related discussions. This paper proposes a taxonomy for data types… Show more

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Cited by 7 publications
(4 citation statements)
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“…a Note that this article is an extended version of the paper by Richthammer et al presented at the 2013 ARES conference [41].…”
Section: Endnotementioning
confidence: 99%
“…a Note that this article is an extended version of the paper by Richthammer et al presented at the 2013 ARES conference [41].…”
Section: Endnotementioning
confidence: 99%
“…Despite the large body of research regarding privacy issues in SNS, there are rather fundamental aspects that have received little attention and that should be addressed first such as the differentiation of social network data types. Since the lack of a generally accepted terminology may lead to confusion in related discussions, we fill this gap by proposing a comprehensive taxonomy in [18,19]. This is particularly important considering the fact that the popularity of SNSs has lead to an increased quantity and availability of sensitive data.…”
Section: Improving Awarenessmentioning
confidence: 99%
“…We discover that privacy implications mainly depend on the interplay of a data element's content, the extent and the granularity of user control, and the concrete implementations of these factors on the respective platform. In the course of demonstrating the applicability of our taxonomy, we reveal the implementation-specific differences in privacy settings [18,19].…”
Section: Improving Awarenessmentioning
confidence: 99%
“…This function block represents the extent to which user reveals their identities in a social media setting [6]. Identity provide the user identification (uniqueness) mean while identify user his name, age, gender, profile, and location and also more subjective information that reveals users through the conscious or unconscious "self-disclosures" of personal information or social media data [1,7,9,10]. Individuality is a central or basic unit to many SM tools, this introduces some fundamental implementation to acquire their own social media sites or strategies for engaging with other sites [6].…”
Section: Identitymentioning
confidence: 99%