Privacy Norms and Preferences for Photos Posted Online

Author:

Hoyle Roberto1ORCID,Stark Luke2,Ismail Qatrunnada3,Crandall David4,Kapadia Apu4,Anthony Denise5

Affiliation:

1. Oberlin College, Oberlin, OH

2. Microsoft Research

3. King Saud University, Riyadh, Saudi Arabia

4. Indiana University Bloomington, Bloomington, IN

5. University of Michigan, Ann Arbor, MI

Abstract

We are surrounded by digital images of personal lives posted online. Changes in information and communications technology have enabled widespread sharing of personal photos, increasing access to aspects of private life previously less observable. Most studies of privacy online explore differences in individual privacy preferences. Here we examine privacy perceptions of online photos considering both social norms, collectively—shared expectations of privacy and individual preferences. We conducted an online factorial vignette study on Amazon’s Mechanical Turk ( n = 279). Our findings show that people share common expectations about the privacy of online images, and these privacy norms are socially contingent and multidimensional. Use of digital technologies to share personal photos is influenced by social context as well as individual preferences, while such sharing can affect the social meaning of privacy.

Funder

National Science Foundation

College of Computer and Information Sciences, King Saud University, Riyadh, Saudi Arabia

Publisher

Association for Computing Machinery (ACM)

Subject

Human-Computer Interaction

Cited by 16 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. DIPA2;Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies;2023-12-19

2. User Preferences for Interdependent Privacy Preservation Strategies in Social Media;Proceedings of the ACM on Human-Computer Interaction;2023-09-28

3. Modeling User Characteristics Associated with Interdependent Privacy Perceptions on Social Media;ACM Transactions on Computer-Human Interaction;2023-06-10

4. Schrödinger’s Camera: First Steps Towards a Quantum-Based Privacy Preserving Camera;2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW);2023-06

5. Privacy Intelligence: A Survey on Image Privacy in Online Social Networks;ACM Computing Surveys;2022-12-23

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