LocBorg: Hiding Social Media User Location while Maintaining Online Persona
LocBorg: Hiding Social Media User Location while Maintaining Online Persona
复制标题
LocBorg：隐藏社交媒体用户位置，同时维护在线角色
DOI：
10.1145/3139958.3140057
复制
发表时间：
2017
期刊：
影响因子：
--
通讯作者：
A. E. Abbadi
中科院分区：
文献类型：
--
作者：
Victor Zakhary;Cetin Sahin;T. Georgiou;A. E. Abbadi
社交媒体流分析可以揭示参与或撰写不同主题的人的特征。最近的研究表明，通过分析个人的社交媒体流可以揭示个人的敏感属性（例如位置、性别、种族、政治观点等）。虽然，对用户敏感属性的预测可用于增强社交媒体中的用户体验，但泄露某些属性（例如位置）可能会对个人构成威胁。用户可以通过发布链接到不同位置的随机主题来混淆他们的位置。然而，发布与用户的在线角色和帖子不相符的随机且有时相互矛盾的主题可能会对对其个人资料感兴趣的关注者产生负面影响。本文代表了我们对社交媒体用户隐私未来的愿景。用户可以在本地部署一个机器人，这是一种人工智能系统，可以帮助人们在社交媒体上保护自己的隐私。我们提出了 LocBorg，一种位置隐私保护机器人，通过混淆用户的位置来保护用户，同时维护他们的在线角色。 LocBorg 分析社交媒体流，并推荐与用户感兴趣的主题相似、与用户的在线角色一致但链接到其他位置的主题。
Social media streams analysis can reveal the characteristics of people who engage with or write about different topics. Recent works show that it is possible to reveal sensitive attributes (e.g., location, gender, ethnicity, political views, etc.) of individuals by analyzing their social media streams. Although, the prediction of a user's sensitive attributes can be used to enhance the user experience in social media, revealing some attributes like the location could represent a threat on individuals. Users can obfuscate their location by posting about random topics linked to different locations. However, posting about random and sometimes contradictory topics that are not aligned with a user's online persona and posts could negatively affect the followers interested in her profile. This paper represents our vision about the future of user privacy on social media. Users can locally deploy a cyborg, an artificial intelligent system that helps people to defend their privacy on social media. We propose LocBorg, a location privacy preserving cyborg that protects users by obfuscating their location while maintaining their online persona. LocBorg analyzes the social media streams and recommends topics to write about that are similar to a user's topics of interest and aligned with the user's online persona but linked to other locations.
DOI：
10.1145/2998181.2998259
发表时间：
2017-02
期刊：
Proceedings of the 2017 ACM Conference on Computer Supported Cooperative Work and Social Computing
影响因子：
--
作者：
T. Georgiou;A. E. Abbadi;Xifeng Yan
通讯作者：
T. Georgiou;A. E. Abbadi;Xifeng Yan
在线社交媒体中保护隐私的社区意识趋势主题检测
DOI：
--
发表时间：
2017
期刊：
DBSec 2017
影响因子：
--
作者：
Georgiou, Theodore;El Abbadi, Amr;Yan, Xifeng
通讯作者：
Yan, Xifeng