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Ineluctable Background Checking on Social Networks: Linking Job Seeker's Resume and Posts

机译:在社交网络上检查的不可构造的背景:将求职者的简历和帖子联系起来

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A growing source of concern is that the privacy of individuals can be violated by linking information from multiple sources. For example, the linking of a person's anonymized information with other information about that person can lead to de-anonymization of the person. To investigate the social risks of such linking, we investigated the use of social networks for background checking, which is the process of evaluating the qualifications of job seekers, and evaluated the risk posed by the linking of information the employer already has with information on social networks. After clarifying the risk, we developed a system that links information from different sources: information extracted from a job seeker's resume and anonymous posts on social networks. The system automatically calculates the similarity between information in the resume and in the posts, and identifies the job seeker's social network accounts even though the profiles may have been anonymized. As a part of our system, we developed a novel method for quantifying the implications of terms in a resume by using the posts on social networks. In an evaluation using the resumes of two job seekers and the tweets of 100 users, the system identified the accounts of both job seekers with reasonably good accuracy (true positive rate of 0.941 and true negative rate of 0.999). These findings reveal the real social threat of linking information from different sources. Our research should thus form the basis for further study of the relationship between privacy in social networks and the freedom to express opinions.
机译:越来越多的担忧是通过将信息与多种来源联系起来,可以违反个人的隐私。例如,将一个人的匿名信息与其他关于该人的其他信息的联系可能导致该人的匿名化。为了调查这种联系的社会风险,我们调查了社交网络进行背景检查,这是评估求职者的资格的过程,并评估了雇主已经拥有社交信息的信息链接所带来的风险网络。在澄清风险之后,我们开发了一个系统,该系统链接来自不同来源的信息:从求职者的简历中提取的信息和社交网络上的匿名员额。系统自动计算恢复和帖子中信息之间的相似性,并识别求职者的社交网络帐户,即使配置文件可能已匿名。作为我们系统的一部分,我们开发了一种通过在社交网络上使用帖子来量化简历中术语含义的新方法。在评估使用两个求职者的恢复和100个用户的推文中,该系统以合理良好的准确度确定了两项求职者的账目(真正的阳性率为0.941,而真正的负率为0.999)。这些调查结果揭示了从不同来源联系信息的真正的社会威胁。因此,我们的研究应采取进一步研究社会网络隐私与表达意见自由之间关系的基础。

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