The widespread use of deception in written content has motivated the need for methods to automatically profile and identify deceivers. Particularly, the identification of deception based on demographic data such as gender, age, and religion, has become of importance due to ethical and security concerns. Previous work on deception detection has studied the role of gender using statistical approa...

There is a puzzle about why self-deception, a process that obscures the truth, is so pervasive in human behavior given that tracking the truth seems important for our survival and reproduction. William von Hippel and Robert Trivers argue that, despite appearances, there is good reason to think that self-deception is an adaptation by arguing: (1) self-deception leads to a positive self-perceptio...

Deception detection has been receiving an increasing amount of attention from the computational linguistics, speech, and multimodal processing communities. One of the major challenges encountered in this task is the availability of data, and most of the research work to date has been conducted on acted or artificially collected data. The generated deception models are thus lacking real-world ev...

Deception is utilized by a variety of intelligent systems ranging from insects to human beings. It has been argued that the use of deception is an indicator of theory of mind [2] and of social intelligence [4]. We use interdependence theory and game theory to explore the phenomena of deception from the perspective of robotics, and to develop an algorithm which allows an artificially intelligent...

The digital information era has allowed increasing online deception opportunities. In addition, the performance of detecting deception has been no better than chance in face-to-face communication, and is reported to be even worse in computer-mediated communication (CMC). Thus, there is a great need to uncover effective cues to deception in CMC. Online interaction weaves an implicit social netwo...

We asked if increased awareness of deception enhanced P300-based detection of concealed information with two groups: 1) Control subjects saw a randomized series of either rare probes (subject home towns), frequent irrelevants (other towns), and rare targets, which are irrelevant stimuli but requiring Button 1 responses. Probes and non-target irrelevants required Button 2 responses. Controls wer...

Verbal deception is everywhere—in interpersonal relationships, in politics, in advertising, and in courts of law. In all of these, and in many other domains, we often find people “telling it like it isn’t.” This chapter is concerned with understanding what this seemingly simple idea really means. Much work has been done in several fields (e.g., communication studies, philosophy, linguistics) an...

Deceit is a core feature of antisocial personality disorder (ASPD), and the study of deception in ASPD has important implications for identifying the underlying mechanism of ASPD. A great deal of functional neuroimaging literature has described the neural correlates of deception in healthy volunteers, but there have been few imaging studies examining people with ASPD. The neural correlates of l...

Deception is a clinically important behavior with poorly understood neurobiological correlates. Published functional MRI (fMRI) data on the brain activity during deception indicates that, on a multisubject group level, lie is distinguished from truth by increased prefrontal and parietal activity. These findings are theoretically important; however, their applied value will be determined by the ...

Current techniques towards information security have limited capabilities to detect and counter attacks that involve different kinds of masquerade and spread of misinformation executed over long time periods to achieve malicious goals. Detection of such deceptive information obtained during online interactions (emails, chat room conversations) is the first step before counter strategies can be ...