Privacy manipulation and acclimation in a location sharing application

Shomir Wilson, Justin Cranshaw, N. Sadeh, A. Acquisti, L. Cranor, Jay Springfield, S. Jeong, Arun Balasubramanian
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引用次数: 50

Abstract

Location sharing is a popular feature of online social networks, but challenges remain in the effective presentation of privacy choices to users, whose location sharing preferences are complex and diverse. One proposed approach for capturing these nuances builds on the observation that key attributes of users' location sharing preferences can be represented by a small number of privacy profiles, which can provide a basis for configuring individual preferences. However, the impact of this approach on how users view their privacy is relatively unknown. We present a study evaluating the impact of this approach on users' location sharing preferences and their satisfaction with the decisions made by their resulting settings. The results suggest that this approach can influence users to share significantly more without a substantial difference in comfort. This further suggests that the provision of profiles for privacy settings must be carefully considered, as they can substantially alter sharing behavior.
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位置共享应用程序中的隐私操作和适应
位置共享是在线社交网络的一个流行功能,但由于用户的位置共享偏好复杂多样,因此如何有效地向用户展示隐私选择仍然存在挑战。一种捕获这些细微差别的建议方法建立在观察到用户位置共享偏好的关键属性可以由少量隐私配置文件表示的基础上,这些隐私配置文件可以为配置个人偏好提供基础。然而,这种方法对用户如何看待他们的隐私的影响是相对未知的。我们提出了一项研究,评估了这种方法对用户位置共享偏好的影响,以及他们对最终设置所做出的决策的满意度。结果表明,这种方法可以影响用户显著地分享更多内容,而不会产生实质性的舒适度差异。这进一步表明,必须仔细考虑为隐私设置提供个人资料,因为它们可以从根本上改变共享行为。
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