The Deceptive Language Processing Framework: Fusing Top-Down and Bottom-Up Approaches to Deception Discovery

The exponential growth of text-based communication associated with the Internet has lead to a vast increase in the amount of unstructured messages that open source intelligence needs to process. This increase has lead to the need to develop methods for facilitating the detection of deception in various forms of text-based messages, from chat rooms, emails, weblogs, to text messaging. Methods are required to discover hidden messages, hostile disinformation, and author misrepresentation. To address the critical need of marrying theoretical and computational approaches to deception detection, Intelligent Automation, Inc. (IAI) proposes to develop a novel Deceptive Language Processing (DLP) framework for deception analysis of large-scale quantities of text. DLP synthesizes social and psychological theory with computational techniques (e.g., natural language processing, data mining) for modeling the relationships between discourse and deception in its various forms.