Abstract
In this paper, we explore deception in its various guises. We identify the difference between lies and deception, and highlight the consideration of medium and message in both deception and its detection. We envisage a Web Filter for deception which could be used equally well as an assistive service for human readers, and as a mechanism for a system that learns from the web. To this end, we also explore whether the research appears to be sufficient to allow for the construction of such a filter.