부산대학교 도서관

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.