Argument Formation in the Reasoning Process: Toward a Generic Model of Deception Detection

Research on deception detection has been mainly focused on two kinds of approaches. In one, people consider deception types and taxonomies, and use different counter strategies to detect and reverse deception. In the other, people search for verbal and non-verbal cues in the content of deceptive communication. However, general theories that study fundamental properties of deception which can be applied in computational models are still very rare. In this work, we propose a general model of deception detection guided by a fundamental principle in the formation of communicative deception. Experimental results using our model demonstrate that deception is distinguishable from unintentional misinformation.