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Identifying hidden social circles for advanced privacy configuration

机译:识别隐藏的社交圈以进行高级隐私配置

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摘要

With the dramatic increase of users on social network websites, the needs to assist users to manage their large number of contacts as well as providing privacy protection become more and more evident. Unfortunately, limited tools are available to address such needs and reduce users' workload on managing their social relationships. To tackle this issue, we propose an approach to facilitate online social network users to group their contacts into social circles with common interests. Further, we leverage the social group practice to automate the privacy setting process for users who add new contacts or upload new data items. We evaluate our approach using real-world data collected through a user study. The study also includes an analysis of the properties that are most critical for privacy related decisions.
机译:随着社交网站上用户的急剧增加,帮助用户管理大量联系人以及提供隐私保护的需求变得越来越明显。不幸的是,有限的工具可用于解决此类需求并减少用户管理其社交关系的工作量。为了解决这个问题,我们提出了一种方法来促进在线社交网络用户将他们的联系人分组到具有共同兴趣的社交圈中。此外,我们利用社交团体做法为添加新联系人或上传新数据项的用户自动化隐私设置过程。我们使用通过用户研究收集的真实数据评估我们的方法。该研究还包括对与隐私相关的决定最关键的属性的分析。

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