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A Big Data Science Experiment -- Identity Deception Detection

机译：大数据科学实验-身份欺骗检测

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Identity Deception Detection is a problem on social media platforms today. Not only is there challenges towards determining the authenticity of people, but also with analyzing the data that forms part of the communications. These data are of heterogeneous type and include photos, videos and sound. Furthermore, most social media platforms are operating in an uncontrolled environment. Any person can contribute content and take part. Even though age restrictions do exist there are no enforcement of these laws and honesty of the public is expected. This is dangerous for minors specifically as they are either unaware of the dangers or not mature enough to be responsible for their actions online. Online predators are aware of this fact and targeting this group specifically. This paper presents work-in-progress towards developing an intelligent Identity Deception Indicator (IDI). It is envisaged that this work could eventually assists authorities in doing large-scale observation on publicly available social media platforms, such as Twitter. Of particular interest are those personas whose behavior and online content does not fit with the age group they are conversing with.
机译：身份欺骗检测是当今社交媒体平台上的一个问题。不仅在确定人员的真实性方面存在挑战，而且在分析构成通信一部分的数据时也面临挑战。这些数据是异构类型的，包括照片，视频和声音。此外，大多数社交媒体平台都在不受控制的环境中运行。任何人都可以贡献内容并参与其中。即使确实存在年龄限制，也不会强制执行这些法律，并且期望公众诚实。特别是对于未成年人，这是危险的，因为他们要么未意识到危险，要么还不够成熟，无法对自己的网上行为负责。在线掠食者意识到这一事实，并专门针对该群体。本文介绍了开发智能身份识别指示器（IDI）的工作。可以预见，这项工作最终可以帮助当局在公众可用的社交媒体平台（例如Twitter）上进行大规模观察。特别令人感兴趣的是那些其行为和在线内容与他们所讨论的年龄段不符的角色。

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