Disclosing Social and Location Attributes on Social Media: The Impact on Users' Privacy

被引:1
作者
Vgena, Katerina [1 ]
Kitsiou, Angeliki [1 ]
Kalloniatis, Christos [1 ]
Kavroudakis, Dimitris [2 ]
机构
[1] Univ Aegean, Dept Cultural Technol & Commun, Privacy Engn & Social Informat Lab, Lesvos 81100, Greece
[2] Univ Aegean, Dept Geog, Lesvos 81100, Greece
来源
COMPUTER SECURITY: ESORICS 2021 INTERNATIONAL WORKSHOPS | 2022年 / 13106卷
关键词
Social attributes; Location attributes; Privacy requirements; Social software engineering; Social media; CONTEXT COLLAPSE;
D O I
10.1007/978-3-030-95484-0_9
中图分类号
TP31 [计算机软件];
学科分类号
081202 ; 0835 ;
摘要
Previous literature summarizes that within social media (SM) more information about users' identity may be disclosed in comparison to their initial intention, imposing various privacy implications. Privacy implications may arise due to the combination of social and location attributes disclosure. The revelation of a substantial amount of users' information can lead to users' identification due to new affiliations created. The main concern of the paper in hand is to discuss the social and location attributes which can play an essential role when implemented in designing privacy-aware information systems in the subject area of SM applications. Privacy requirements are being analyzed as organizational goals during the designing phase, thus, our analysis focuses on the interrelation among privacy requirements and social and location attributes. Interrelations that derive from social and location implications will be further analyzed in a case study, in which a user is presented throughout a potential online routine. The main contribution of this paper is to represent potential privacy implications that derive from both social and location attribute disclosure within SM, when the respective technical privacy requirements are not satisfied.
引用
收藏
页码:138 / 157
页数:20
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