Privacy Norms and Preferences for Photos Posted Online

Privacy Norms and Preferences for Photos Posted Online
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DOI:
10.1145/3380960
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发表时间:
2020-08
期刊:
ACM Transactions on Computer-Human Interaction (TOCHI)
影响因子:
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通讯作者:
Roberto Hoyle;Luke Stark;Qatrunnada Ismail;David J. Crandall;Apu Kapadia;D. Anthony
Roberto Hoyle;Luke Stark;Qatrunnada Ismail;David J. Crandall;Apu Kapadia;D. Anthony
中科院分区:
其他
文献类型:
--
作者:
Roberto Hoyle;Luke Stark;Qatrunnada Ismail;David J. Crandall;Apu Kapadia;D. Anthony

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我们被网上发布的个人生活的数码照片所包围。信息和通信技术的变化使得个人照片的广泛共享成为可能,从而增加了人们对以前不太引人注目的私人生活方面的了解。大多数关于网络隐私的研究都探讨了个人隐私偏好的差异。在这里,我们从社会规范、集体共享的隐私期望和个人偏好两方面来考察在线照片的隐私观念。我们对亚马逊的土耳其机器人进行了在线因子研究(n = 279)。我们的研究结果表明,人们对网络图像的隐私有着共同的期望,这些隐私规范是社会偶然的和多维的。使用数字技术分享个人照片受到社会背景和个人偏好的影响,而这种分享会影响隐私的社会意义。
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.