Tag, you can see it!

Klemperer, Peter; Liang, Yuan; Mazurek, Michelle L.; Sleeper, Manya; Ur, Blase; Bauer, Lujo; Cranor, Lorrie Faith; Gupta, Nitin; Reiter, Michael K.

doi:10.1145/2207676.2207728

Cited by 74 publications

(5 citation statements)

References 21 publications

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“…As an extension to the relationship-based access control mechanism, Klemperer et al [22] propose using photo tags for defining privacy policies. The main goal of this work is to reduce the complexity of relationship-based policies and take advantage of contextual properties of photo tags.…”

Section: Related Workmentioning

confidence: 99%

PANOLA: A Personal Assistant for Supporting Users in Preserving Privacy

Ulusoy

Yolum

2021

ACM Trans. Internet Technol.

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Privacy is the right of individuals to keep personal information to themselves. When individuals use online systems, they should be given the right to decide what information they would like to share and what to keep private. When a piece of information pertains only to a single individual, preserving privacy is possible by providing the right access options to the user. However, when a piece of information pertains to multiple individuals, such as a picture of a group of friends or a collaboratively edited document, deciding how to share this information and with whom is challenging. The problem becomes more difficult when the individuals who are affected by the information have different, possibly conflicting privacy constraints. Resolving this problem requires a mechanism that takes into account the relevant individuals’ concerns to decide on the privacy configuration of information. Because these decisions need to be made frequently (i.e., per each piece of shared content), the mechanism should be automated. This article presents a personal assistant to help end-users with managing the privacy of their content. When some content that belongs to multiple users is about to be shared, the personal assistants of the users employ an auction-based privacy mechanism to regulate the privacy of the content. To do so, each personal assistant learns the preferences of its user over time and produces bids accordingly. Our proposed personal assistant is capable of assisting users with different personas and thus ensures that people benefit from it as they need it. Our evaluations over multiagent simulations with online social network content show that our proposed personal assistant enables privacy-respecting content sharing.

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Section: Related Workmentioning

confidence: 99%

PANOLA: A Personal Assistant for Supporting Users in Preserving Privacy

Ulusoy

Yolum

2021

ACM Trans. Internet Technol.

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“…To that end, the photo-posting user experience can be augmented with computational techniques that warn users when they try to post photos that Friends, Followers, and outsiders might view less favorably. For example, prior research has looked into predicting access control policies for photos based on their tags [35].…”

Section: Photo Posts Vs Text Postsmentioning

confidence: 99%

Does This Photo Make Me Look Good?

Das

Ahmed

Kapadia

et al. 2021

Proc. ACM Hum.-Comput. Interact.

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Bloomington, USAIn recent years, the use and importance of visual communication through photos have grown considerably. However, we have little understanding of the alignment between the intentions of the photo posters and the reactions of viewers. To address this gap, we replicated previous work that studied the alignment of poster and outsider judgments of text posts by extending it to photo posts. In our study of 573 users across four social media platforms, we found that outsiders generally judge photo posts more positively than anticipated by posters. Examining viewer engagement on social media revealed that photos depicting family and friends receive fewer reactions. We apply our insight to propose novel solutions that can help users create a more positive digital presence by aligning their photo posts with the expectations of their audiences.CCS Concepts: • Human-centered computing → Empirical studies in HCI; Empirical studies in collaborative and social computing; Social media; Social content sharing.

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“…Psychological acceptability of protection mechanisms has been largely recognized as a main challenge in the security research community since the seminal work of Saltzer and Schroeder [1975]. For instance, policy specification has been recognized as a difficult and costly task for end-users [Fang and LeFevre 2010;Klemperer et al 2012;Squicciarini et al 2017]. This is even more challenging in community-centered systems mainly due to the multi-party nature of these systems, wherein the members of the community should collaboratively specify protection requirements for shared resources.…”

Section: Community-centered Collaborative Systemsmentioning

confidence: 99%

“…Existing approaches vary significantly with respect to the features used to generate privacy preferences; see Table VI for an overview. Some approaches derive privacy settings from image metadata (e.g., tags) [Klemperer et al 2012;Squicciarini et al 2010], other from personal traits (e.g., location, age) and/or social context (e.g., friend list) [Fang and LeFevre 2010]. Squicciarini et al [2010] discuss two alternative approaches to assist users in the automated generation of privacy settings, thus, freeing them from the burden of specifying a privacy policy for co-owned images.…”

Section: Usability and Transparencymentioning

confidence: 99%

Survey on Access Control for Community-Centered Collaborative Systems

2018

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The last decades have seen a growing interest and demand for community-centered collaborative systems and platforms. These systems and platforms aim to provide an environment in which users can collaboratively create, share and manage resources. While offering attractive opportunities for online collaboration and information sharing, they also open several security and privacy issues. This has attracted several research efforts towards the design and implementation of novel access control solutions that can handle the complexity introduced by collaboration. Despite these efforts, transition to practice has been hindered by the lack of maturity of the proposed solutions. The access control mechanisms typically adopted by commercial collaborative systems like online social network websites and collaborative editing platforms, are still rather rudimentary and do not provide users with a sufficient control over their resources. This survey examines the growing literature on access control for collaborative systems centered on communities, and identifies the main challenges to be addressed in order to facilitate the adoption of collaborative access control solutions in real-life settings. Based on the literature study, we delineate a roadmap for future research in the area of access control for community-centered collaborative systems.

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Tag, you can see it!

Cited by 74 publications

References 21 publications

PANOLA: A Personal Assistant for Supporting Users in Preserving Privacy

PANOLA: A Personal Assistant for Supporting Users in Preserving Privacy

Does This Photo Make Me Look Good?

Survey on Access Control for Community-Centered Collaborative Systems

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