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首页> 外文会议>Digital Ecosystems Technologies (DEST), 2012 6th IEEE International Conference on >Big data privacy issues in public social media
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Big data privacy issues in public social media

机译：公共社交媒体中的大数据隐私问题

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摘要

Big Data is a new label given to a diverse field of data intensive informatics in which the datasets are so large that they become hard to work with effectively. The term has been mainly used in two contexts, firstly as a technological challenge when dealing with dataintensive domains such as high energy physics, astronomy or internet search, and secondly as a sociological problem when data about us is collected and mined by companies such as Facebook, Google, mobile phone companies, retail chains and governments. In this paper we look at this second issue from a new perspective, namely how can the user gain awareness of the personally relevant part Big Data that is publicly available in the social web. The amount of user-generated media uploaded to the web is expanding rapidly and it is beyond the capabilities of any human to sift through it all to see which media impacts our privacy. Based on an analysis of social media in Flickr, Locr, Facebook and Google+, we discuss privacy implications and potential of the emerging trend of geo-tagged social media. We then present a concept with which users can stay informed about which parts of the social Big Data deluge is relevant to them.
机译：大数据是赋予数据密集型信息学各个领域的新标签，在该领域中，数据集是如此之大，以至于难以有效使用。该术语主要用于两种情况，首先是在处理诸如高能物理，天文学或互联网搜索之类的数据密集型领域时的技术挑战，其次是在诸如Facebook之类的公司收集和挖掘有关我们的数据时的社会问题。 ，谷歌，手机公司，零售连锁店和政府。在本文中，我们从新的角度审视了第二个问题，即用户如何了解社交网络中公开可用的与个人相关的部分大数据。上传到网络上的用户生成的媒体数量正在迅速扩展，这超出了任何人的能力范围，无法查看哪些媒体会影响我们的隐私。在对Flickr，Locr，Facebook和Google+中的社交媒体进行分析的基础上，我们讨论了隐私的含义以及带有地理标签的社交媒体新兴趋势的潜力。然后，我们提出一个概念，使用户可以随时了解社交大数据洪水的哪些部分与他们有关。

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