Privacy in Context: Technology, Policy, and the Integrity of Social Life

Zhu, Ling

doi:10.1080/15536548.2011.10855919

Cited by 5 publications

(2 citation statements)

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“…For instance, tagging is the process of integrating other users into the shared posts. Manual or automatic tagging data has the potential to leak social connection information to the public [16][17][18][19][20][21][22].…”

Section: B) Contextual Data Leakagementioning

confidence: 99%

Privacy-Preserving Photo Sharing on Online Social Networks: A Review

Sajid,

Kavitha

2024

IJSSE

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Online social networking applications and their services have become an essential part of the human lifestyle. These social services help online users in different ways, such as through social visibility, content sharing, communication, promotions, etc. In the same way, the services of online social networks (OSNs) pose privacy risks for their users. The service of photo sharing in OSNs, in particular, causes leakage of online social users' personal information. It's critical to comprehend previous studies that looked at privacypreserving photo sharing and whether users have their privacy protected when sharing photos. The goal of this review is to bridge the gap between the growing demand for image sharing via OSNs and individualized privacy requirements. This effort presents a comprehensive analysis of "privacy-preserving" technologies that specifically address contemporary privacy concerns associated with sharing images on online social networks (OSNs). This study presents a comprehensive analysis framework that focuses on the complete lifecycle of image sharing on online social networks (OSNs). This work presented a review framework called Privacy-Preserving Photo Sharing (PPPS) by categorizing previous works into three stages related to online secure photo sharing. Preprocessing, privacy settings, and photo publishing are the stages used in this survey's design to secure photo sharing. This framework aims to tackle the many privacy challenges and propose appropriate solutions in this multidisciplinary domain. During each phase, we analyse common user behaviours connected to sharing, the privacy concerns that arise from those behaviours, and evaluate representative solutions that are proposed by previous works.

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Section: B) Contextual Data Leakagementioning

confidence: 99%

Privacy-Preserving Photo Sharing on Online Social Networks: A Review

Sajid,

Kavitha

2024

IJSSE

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“…In the digital age, people have a digital presence beyond their physical existence, and the area of this digital asset tends to grow constantly. It has become almost impossible to carry out daily work without sharing personal data to use digital services (Zhu, 2011). However, people's use of e-services is not always a necessity.…”

Section: Privacy and Individual As A Social Beingmentioning

confidence: 99%

Melting of Privacy with Machine Learning, Big Data, and Social Media

Canbay¹,

Demircioğlu²

2023

acin

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Every individual has the right to keep their information private. However, there is a big question: is this possible in the digital era? While social media attracts people to share personal data, most advanced technologies are continually developing in the area of how to exploit information from this personal data. Is it possible to talk about keeping personal data private? This study aims to investigate whether it is possible both to connect to the cyber-world and remain private in the digital era, where intensive studies have been conducted to protect privacy. This study discusses: (1) the social perception of privacy, (2) the contradiction between privacy expectations and behaviors, and (3) the current state of both disclosure and protection efforts of privacy with machine learning and big data techniques. As a result of our research, it was concluded that it is almost impossible to exist in the cyber/digital world and remain private, that most users are not uncomfortable with the current situation, and that institutions and technology developers should take more responsibility in this regard.

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Privacy in Mobile and Pervasive Computing

Langheinrich

Schaub

2019

Synthesis Lectures on Mobile &Amp; Pervasive Computing

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Privacy in Context: Technology, Policy, and the Integrity of Social Life

Cited by 5 publications

References 0 publications

Privacy-Preserving Photo Sharing on Online Social Networks: A Review

Privacy-Preserving Photo Sharing on Online Social Networks: A Review

Melting of Privacy with Machine Learning, Big Data, and Social Media

Privacy in Mobile and Pervasive Computing

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