ABSTRACT As users increasingly rely on online social networks for their communication activities, personal location data processing through such networks poses significant risks to users’ privacy. Location tracks can be mined with other shared information to extract rich personal profiles. To protect users’ privacy, online social networks face the challenge of ensuring transparent communication to users of how their data are processed, and explicitly obtaining users’ informed consent for the use of this data. In this paper, we explore the complex nature of the location disclosure problem and its risks to personal privacy. We evaluate, with an experiment involving 715 participants, the contributing factors to the perception of such risks with scenarios that mimic (a) realistic modes of interaction, where users are not fully aware of the extent of their location-related data being processed, and (b) with devised scenarios that deliberately inform users of the data they are sharing and its visibility to others. The results are used to represent the users’ perception of privacy risks when sharing their location information online and to derive a possible model of privacy risks associated with this sharing behaviour. Such a model can inform the design of privacy-aware online social networks to improve users’ trust and to ensure compliance with legal frameworks for personal privacy.

中文翻译：

---

从在线社交网络上的位置披露对个人隐私的感知风险建模

摘要随着用户越来越依赖在线社交网络进行通信活动，通过此类网络处理个人位置数据对用户隐私构成了重大风险。位置轨迹可以与其他共享信息一起挖掘，以提取丰富的个人资料。为了保护用户的隐私，在线社交网络面临着确保向用户透明地传达其数据处理方式以及明确获得用户对使用这些数据的知情同意的挑战。在本文中，我们探讨了位置披露问题的复杂性及其对个人隐私的风险。我们通过一项涉及 715 名参与者的实验，通过模拟 (a) 现实交互模式的场景评估了导致感知此类风险的因素，用户不完全了解他们的位置相关数据被处理的程度，以及 (b) 设计的场景，故意通知用户他们正在共享的数据及其对他人的可见性。结果用于表示用户在线共享其位置信息时对隐私风险的感知，并推导出与这种共享行为相关的隐私风险的可能模型。这种模型可以为具有隐私意识的在线社交网络的设计提供信息，以提高用户的信任度并确保遵守个人隐私的法律框架。结果用于表示用户在线共享其位置信息时对隐私风险的感知，并推导出与这种共享行为相关的隐私风险的可能模型。这种模型可以为具有隐私意识的在线社交网络的设计提供信息，以提高用户的信任度并确保遵守个人隐私的法律框架。结果用于表示用户在线共享其位置信息时对隐私风险的感知，并推导出与这种共享行为相关的隐私风险的可能模型。这种模型可以为具有隐私意识的在线社交网络的设计提供信息，以提高用户的信任度并确保遵守个人隐私的法律框架。