Identifying hidden social circles for advanced privacy configuration
Identifying hidden social circles for advanced privacy configuration
复制标题
识别隐藏的社交圈以进行高级隐私配置
DOI：
10.1016/j.cose.2013.07.007
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发表时间：
2014
期刊：
影响因子：
--
通讯作者：
Nicole DeSisto
中科院分区：
文献类型：
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作者：
A. Squicciarini;Sushama Karumanchi;D. Lin;Nicole DeSisto
随着社交网站用户的剧增，帮助用户管理其海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，可用于满足这些需求并减少用户管理其社会关系的工作量的工具有限。为了解决这个问题，我们提出了一种方法，方便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子中。此外，我们利用社交团体实践为添加新联系人或上传新数据项的用户自动执行隐私设置流程。我们使用通过用户研究收集的真实数据来评估我们的方法。这项研究还包括对与隐私相关的决策最关键的属性的分析。
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.