Modeling User Characteristics Associated with Interdependent Privacy Perceptions on Social Media
Modeling User Characteristics Associated with Interdependent Privacy Perceptions on Social Media
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DOI：
10.1145/3577014
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发表时间：
2023-01
影响因子：
3.7
通讯作者：
M. J. Amon;Aaron Necaise;N. Kartvelishvili;Aneka Williams;Yan Solihin;Apu Kapadia
中科院分区：
文献类型：
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作者：
M. J. Amon;Aaron Necaise;N. Kartvelishvili;Aneka Williams;Yan Solihin;Apu Kapadia
当用户未经许可在社交媒体上分享其他人的私人照片和信息时，就会发生“相互依赖”的隐私侵犯行为。这项研究调查了与相互依存的隐私感知相关的用户特征，要求社交媒体用户对基于照片的模因进行评级，这些模因描述了陌生人的隐私程度。用户还完成了衡量社交媒体使用和个性的问卷调查。不同的小组根据分享性、效价和娱乐价值对这些模因进行了评级。用户不太可能分享被评为私人的模因，除非模因是娱乐性的，或者当用户表现出黑暗的三合会特征。具有黑社会特征的用户表现出对相互依赖的隐私的高度意识，并增加了对他人照片的分享。介绍了一个模型，突出了用户类型和特征，对应于不同的隐私偏好：隐私保护者，破坏者和违规者。我们讨论如何干预，以支持相互依存的隐私必须有效地影响不同的用户。
“Interdependent” privacy violations occur when users share private photos and information about other people in social media without permission. This research investigated user characteristics associated with interdependent privacy perceptions, by asking social media users to rate photo-based memes depicting strangers on the degree to which they were too private to share. Users also completed questionnaires measuring social media usage and personality. Separate groups rated the memes on shareability, valence, and entertainment value. Users were less likely to share memes that were rated as private, except when the meme was entertaining or when users exhibited dark triad characteristics. Users with dark triad characteristics demonstrated a heightened awareness of interdependent privacy and increased sharing of others’ photos. A model is introduced that highlights user types and characteristics that correspond to different privacy preferences: privacy preservers, ignorers, and violators. We discuss how interventions to support interdependent privacy must effectively influence diverse users.