Maintaining a Consistent Representation of Self across Multiple Social Networking Sites -- A Data-centric Perspective

Riesner, Moritz; Pernul, Günther

doi:10.1109/socialcom-passat.2012.15

Cited by 4 publications

(5 citation statements)

References 19 publications

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“…The problem increases when users aim to create consistent social identities across multiple SNSs, such as Facebook, Twitter, and LinkedIn. In [23,24], we outline a single, global and provider-independent social identity model and show how to implement and decompose these identities on existing SNSs. Therein, decisions in the global model (e.g.…”

Section: Improving Controlmentioning

confidence: 99%

Privacy in Social Networks: Existing Challenges and Proposals for Solutions

Pemul

2015

Communications in Computer and Information Science

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Abstract. The significant change in our social lives and communication habits caused by the rise of Social Network Sites (SNSs) has not only brought along benefits but is also accompanied by privacy threats. In this paper we present our research efforts on SNS privacy and social identity management. First, we outline the results of an empirical study showing significant discrepancies between Facebook users' actual privacy settings and their perception as well as their preferences. Based on this evident need for improving privacy, we present a novel conceptualization of privacy that serves as the basis for tackling the challenges. Finally, the paper provides an overview of solutions we developed as part of our research efforts on privacy in SNSs.Keywords: Social network sites · Privacy · Social identity management MotivationSince their emergence more than a decade ago, Social Network Sites (SNSs) are increasingly changing our social lives and communication habits. While social networks have always been an important part of human life, the advent of easyto-use services and their ability to bridge boundaries -regarding both space and time -increasingly shifts social life to the online world. These networks enable communication with people from different social spheres (e.g. family, close friends, colleagues), ease interaction, and allow their users to stay in touch with existing contacts as well as to create new relationships.However, the rise of SNSs also threatens the privacy of their users. On the one hand, people on SNSs inconsiderately share many personal items (e.g. status updates, location updates, photos) while they are not fully aware of their audience. There are numerous examples of SNS users posting inappropriate pictures and status updates and consequently offending people that have access to these items (such as one's boss or parents). On the other hand, few SNS providers exist that have collected a large amount of personal data in their databases raising surveillance and data protection concerns.

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Section: Improving Controlmentioning

confidence: 99%

Privacy in Social Networks: Existing Challenges and Proposals for Solutions

Pemul

2015

Communications in Computer and Information Science

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“…Related work in assessing the access control models in OSNs (e.g., [20,21]) does not differentiate between different attributes of the user identity, while others only focus on singular aspects such as the owner and creator of items [22]. Still, it is seldom or only briefly [23] considered that attributes on OSNs vary widely in implementation, semantics, applicable policies [24], and privacy controls [25] and thus carry far-reaching implications for the user.…”

Section: Existing Privacy-related Researchmentioning

confidence: 99%

Taxonomy of social network data types

Richthammer

Netter

Riesner

et al. 2014

EURASIP J. on Info. Security

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Online social networks (OSNs) have become an integral part of social interaction and communication between people. Reasons include the ubiquity of OSNs that is offered through mobile devices and the possibility to bridge spatial and temporal communication boundaries. However, several researchers have raised privacy concerns due to the large amount of user data shared on OSNs. Yet, despite the 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. The lack of a terminology impedes comparability of related work and discussions among researchers, especially in the case of privacy implications of different data types. To overcome these shortcomings, this paper develops a well-founded terminology based on a thorough literature analysis and a conceptualization of typical OSN user activities. The terminology is organized hierarchically resulting in a taxonomy of data types. The paper furthermore discusses and develops a metric to assess the privacy relevance of different data types. Finally, the taxonomy is applied to the five major OSNs to evaluate its generalizability.

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“…It is also possible in particular SNS that a setting is only available for certain attribute categories. This possible dependence between available SIdM settings and the implementation of certain attributes in a particular SNS merits further analysis of the implementation of profile elements for each SNS (Riesner and Pernul, 2012). As such an analysis is very implementationdependent, it is performed together with the provider survey in Section 6, where necessary.…”

Section: Unrestricted Identity Creation and Controlmentioning

confidence: 99%

“…This article is an extended version of a paper that was accepted to the ARES-conference in 2012 (Riesner et al, 2012). It has been extended under consideration of the helpful reviewer comments and the discussion at the conference venue.…”

Section: Introductionmentioning

confidence: 99%