论文标题
偶然数据：对社交媒体平台上隐私的观察损害数据
Incidental Data: Observation of Privacy Compromising Data on Social Media Platforms
论文作者
论文摘要
社交媒体在互联网生活中绝大多数席位起着重要作用。同样，通过社交媒体共享，发布和发布内容几乎变得毫不费力。这将释放出新的威胁，因为无意间共享的信息可能会针对自己或心爱的信息。借助开源智能数据和方法，我们展示了如何揭示未注明已发布的数据，并进一步分析可能损害其隐私的可能性。这是由来自各个专业领域的采访专家的流行看法的支持。我们能够证明，只有2个小时的手动获取数据就足够了，以便揭示该人不打算发布的私人个人信息。用几种方法描述了两种独特的方法。从我们的结果来看，我们能够描述13个步骤的意识指南，并提议在奥地利立法中改变法律。我们的工作表明，需要提高社交媒体人员的意识。批判性地思考我们的工作，揭示了几种道德含义，这使得必要。但是，可以假定罪犯不这样做。
Social media plays an important role for a vast majority in one's internet life. Likewise, sharing, publishing and posting content through social media became nearly effortless. This unleashes new threats as unintentionally shared information may be used against oneself or beloved ones. With open source intelligence data and methods, we show how unindented published data can be revealed and further analyze possibilities that can potentially compromise one's privacy. This is backed up by a popular view from interviewed experts from various fields of expertise. We were able to show that only 2 hours of manually fetching data are sufficient in order to unveil private personal information that was not intended to be published by the person. Two distinctive methods are described with several approaches. From our results, we were able to describe a thirteen-step awareness guideline and proposed a change of law within Austrian legislation. Our work has shown that awareness among persons on social media needs to be raised. Critically reflecting on our work has revealed several ethical implications that made countermeasures necessary; however, it can be assumed that criminals do not do that.
