Enabling Co-owned Image Privacy on Social Media via Agent Negotiation

Image sharing on online social networks (OSNs) has become an indispensable part of daily social activities, but it has also increased the risk of privacy invasion. An online image can reveal various types of sensitive information, prompting the public to rethink individual privacy needs in OSN image sharing critically. However, the interaction of images and OSN makes the privacy issues significantly complicated. The current real-world solutions for privacy management fail to provide adequate personalized, accurate and flexible privacy protection. Constructing a more intelligent environment for privacy-friendly OSN image sharing is urgent in the near future. Meanwhile, given the dynamics in both users’ privacy needs and OSN context, a comprehensive understanding of OSN image privacy throughout the entire sharing process is preferable to any views from a single side, dimension or level. To fill this gap, we contribute a survey of ”privacy intelligence” that targets modern privacy issues in dynamic OSN image sharing from a user-centric perspective. Specifically, we present the important properties and a taxonomy of OSN image privacy, along with a high-level privacy analysis framework based on the lifecycle of OSN image sharing. The framework consists of three stages with different principles of privacy by design. At each stage, we identify typical user behaviors in OSN image sharing and their associated privacy issues. Then a systematic review of representative intelligent solutions to those privacy issues is conducted, also in a stage-based manner. The analysis results in an intelligent ”privacy firewall” for closed-loop privacy management. Challenges and future directions in this area are also discussed.

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Privacy Intelligence: A Survey on Image Privacy in Online Social Networks

Liu

Zhu

Zhang

et al. 2022

ACM Comput. Surv.

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Analysis of Communication Privacy Management on Instagram Stories

Siregar

Puspasari

2023

Pcommu

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Social media is basically for sharing information and public channels to express the account owners. To date, Instagram is one of the largest social media networking platforms with visual outputs like videos and photos. Much information can be exchanged and retrieved between users via this platform. Occasionally, some users have posted other people's privacy on their feeds, which may result in a lawsuit against the Instagram account owners. This present study aims to examine the level of understanding of Instagram users' privacy management of their accounts. The data was collected through in-depth interviews with a total of three respondents and the analysis method of Communication Privacy Management (CPM) was carried out. The result shown that in self-disclosure through Instagram not all informants are able to set public and private boundaries. After interviewing, all informants have shown a better understanding of various violations of privacy, such as data leaks, cyber-stalking, taking and uploading photos or videos without permission, and ignoring copyright. In post-event, all the informant perform take action on the management of privacy with consideration as an important thing for building a relationship. Keyword : Instagram, Media Social, Communication Privacy Management.

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Enabling Co-owned Image Privacy on Social Media via Agent Negotiation

Cited by 2 publications

References 13 publications

Privacy Intelligence: A Survey on Image Privacy in Online Social Networks

Privacy Intelligence: A Survey on Image Privacy in Online Social Networks

Analysis of Communication Privacy Management on Instagram Stories

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