Visible Flows: Contextual Integrity and the Design of Privacy Mechanisms on Social Network Sites

Lipford, Heather Richter; Hull, Gordon; Latulipe, Celine; Besmer, Andrew; Watson, Jason

doi:10.1109/cse.2009.241

Cited by 29 publications

(15 citation statements)

References 6 publications

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“…Managing the privacy of online personal information can be challenging, as users must decide a priori how to create policies that reflect the perceived future contexts for that information. Users tend to underestimate the audience of their information [1,13,22], or misunderstand the information flows and implications of privacy settings, resulting in information being shared out of the intended social context [14].…”

Section: Introductionmentioning

confidence: 99%

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The impact of social navigation on privacy policy configuration

Besmer

Watson

Lipford

2010

Proceedings of the Sixth Symposium on Usable Privacy and Security

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Social navigation is a promising approach to help users make better privacy and security decisions using community knowledge and expertise. Social navigation has recently been applied to several privacy and security systems such as peer-topeer file sharing, cookie management, and firewalls. However, little empirical evaluation of social navigation cues has been performed in security or privacy systems to understand the real impact such knowledge has on user behavior and the resulting policies. In this paper, we explore the application of social navigation to access control policy configuration using an empirical between subjects study. Our results indicate that community information does impact user behavior, but only when the visual representation of the cue is sufficiently strong.

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Section: Introductionmentioning

confidence: 99%

“…Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee. Symposium on Usable Privacy and Security (SOUPS) 2010, July [14][15][16]2010, Redmond, WA USA .…”

Section: Introductionmentioning

confidence: 99%

The impact of social navigation on privacy policy configuration

Besmer

Watson

Lipford

2010

Proceedings of the Sixth Symposium on Usable Privacy and Security

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“…Further in Section VI, we apply the reference framework on a selected number of SNS to evaluate and compare their support for SIdM, leading to a qualitative assessment (3). This analysis serves as a validation for the developed reference framework.…”

Section: Research Modelmentioning

confidence: 99%

“…The need for settings that enable personal Social Identity Management (SIdM) has been pointed out by multiple authors [2], [3]. SIdM refers to the deliberate, targeted disclosure of personal attribute values to a subset of one's contacts on SNS.…”

mentioning

confidence: 99%

An Analysis of Implemented and Desirable Settings for Identity Management on Social Networking Sites

Riesner

Netter

Pernul

2012

2012 Seventh International Conference on Availability, Reliability and Security

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Abstract-To address privacy threats stemming from interacting with other users on Social Networking Sites (SNS), effective Social Identity Management (SIdM) is a key requirement. SIdM refers to the deliberate and targeted disclosure of personal attribute values to a subset of one's contacts on SNS. While a variety of privacy-enhancing approaches have been proposed, these are often isolated solutions that lack integration into a reference framework that states the requirements for successfully managing one's identity. In this paper, a reference framework of existing and desired SIdM settings is derived from identity theory, literature analysis, and existing SNS. Based thereupon, we examine the SIdM capabilities of prevalent SNS and highlight possible improvements.

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“…The need for settings that enable personal Social Identity Management (SIdM) has been pointed out by multiple authors (Farnham and Churchill, 2011;Lipford et al, 2009). SIdM refers to the deliberate, targeted disclosure of personal attribute values to a subset of one's contacts on SNS.…”

Section: Introductionmentioning

confidence: 99%