Lie detection
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Lying takes time: A meta-analysis on reaction time measures of deception. Open
Lie detection techniques are frequently used, but most of them have been criticized for the lack of empirical support for their predictive validity and presumed underlying mechanisms. This situation has led to increased efforts to unravel …
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Reading Lies: Nonverbal Communication and Deception Open
The relationship between nonverbal communication and deception continues to attract much interest, but there are many misconceptions about it. In this review, we present a scientific view on this relationship. We describe theories explaini…
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Deception detection with behavioral, autonomic, and neural measures: Conceptual and methodological considerations that warrant modesty Open
The detection of deception has attracted increased attention among psychological researchers, legal scholars, and ethicists during the last decade. Much of this has been driven by the possibility of using neuroimaging techniques for lie de…
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‘Language of lies’: Urgent issues and prospects in verbal lie detection research Open
Since its introduction into the field of deception detection, the verbal channel has become a rapidly growing area of research. The basic assumption is that liars differ from truth tellers in their verbal behaviour, making it possible to c…
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Baselining as a Lie Detection Method Open
Summary For entirely valid reasons, practitioners urge researchers to develop within‐subjects lie detection methods. This article highlights some problems with the existing and popular nonverbal baseline lie detection method and with the u…
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Neuroprediction and A.I. in Forensic Psychiatry and Criminal Justice: A Neurolaw Perspective Open
Advances in the use of neuroimaging in combination with A.I., and specifically the use of machine learning techniques, have led to the development of brain-reading technologies which, in the nearby future, could have many applications, suc…
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The Analysis of Nonverbal Communication: The Dangers of Pseudoscience in Security and Justice Contexts Open
For security and justice professionals (e.g., police officers, lawyers, judges), the thousands of peer-reviewed articles on nonverbal communication represent important sources of knowledge. However, despite the scope of the scientific work…
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Miami University deception detection database Open
In the present work, we introduce the Miami University Deception Detection Database (MU3D), a free resource containing 320 videos of target individuals telling truths and lies. Eighty (20 Black female, 20 Black male, 20 White female, and 2…
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Which lie detection tools are ready for use in the criminal justice system? Open
Lie Detection Tools 2 We introduce 'arousal based' lie detection tools (the Behavior Analysis Interview, the Comparison Question polygraph Test, CQT) and 'cognition based' lie detection tools (imposing cognitive load, encouraging interview…
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Within‐subjects verbal lie detection measures: A comparison between total detail and proportion of complications Open
Background We examined whether the verbal cue, proportion of complications, was a more diagnostic cue to deceit than the amount of information provided (e.g., total number of details). Method In the experiment, 53 participants were intervi…
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Verbal Deception and the Model Statement as a Lie Detection Tool Open
We have been reliably informed by practitioners that police officers and intelligence officers across the world have started to use the Model Statement lie detection technique. In this article we introduce this technique. We describe why i…
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Lie prevalence, lie characteristics and strategies of self-reported good liars Open
Meta-analytic findings indicate that the success of unmasking a deceptive interaction relies more on the performance of the liar than on that of the lie detector. Despite this finding, the lie characteristics and strategies of deception th…
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Is Lying Bound to Commitment? Empirically Investigating Deceptive Presuppositions, Implicatures, and Actions Open
Lying is an important moral phenomenon that most people are affected by on a daily basis—be it in personal relationships, in political debates, or in the form of fake news. Nevertheless, surprisingly little is known about what actually con…
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Mistakes, Overconfidence, and the Effect of Sharing on Detecting Lies Open
Mistakes and overconfidence in detecting lies could help lies spread. Participants in our experiments observe videos in which senders either tell the truth or lie, and are incentivized to distinguish between them. We find that participants…
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The Relationship between Complications, Common Knowledge Details and Self-handicapping Strategies and Veracity: A Meta-analysis Open
Practitioners frequently inform us that variable ‘total details’ is not suitable for lie detection purposes in real life interviews. Practitioners cannot count the number of details in real time and the threshold of details required to cla…
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A test of the micro‐expressions training tool: Does it improve lie detection? Open
The purpose of the study was to examine the effectiveness of the micro‐expressions training tool (METT) in identifying and using micro‐expressions to improve lie detection. Participants ( n = 90) were randomly assigned to receive training …
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Neural correlates of deception: lying about past events and personal beliefs Open
Although a growing body of literature suggests that cognitive control processes are involved in deception, much about the neural correlates of lying remains unknown. In this study, we tested whether brain activation associated with decepti…
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Covert lie detection using keyboard dynamics Open
Identifying the true identity of a subject in the absence of external verification criteria (documents, DNA, fingerprints, etc.) is an unresolved issue. Here, we report an experiment on the verification of fake identities, identified by me…
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How researchers can make verbal lie detection more attractive for practitioners Open
Over the last 30 years deception researchers have changed their attention from observing nonverbal behaviour to analysing speech content. However, many practitioners we speak to are reluctant to make the change from nonverbal to verbal lie…
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A Review of Approaches to Detecting Malingering in Forensic Contexts and Promising Cognitive Load-Inducing Lie Detection Techniques Open
Malingering, the feigning of psychological or physical ailment for gain, imposes high costs on society, especially on the criminal-justice system. In this article, we review some of the costs of malingering in forensic contexts. Then the m…
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Altruistic and self-serving goals modulate behavioral and neural responses in deception Open
People tell lies not only for their own self-interests but sometimes also to help others. Little is known about the ways in which different types of goals modulate behaviors and neural responses in deception. The present study investigated…
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Introducing Representations of Facial Affect in Automated Multimodal Deception Detection Open
Automated deception detection systems can enhance health, justice, and\nsecurity in society by helping humans detect deceivers in high-stakes\nsituations across medical and legal domains, among others. This paper presents\na novel analysis…
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Introducing Machine Learning to Detect Personality Faking-Good in a Male Sample: A New Model Based on Minnesota Multiphasic Personality Inventory-2 Restructured Form Scales and Reaction Times Open
Background and Purpose. The use of machine learning (ML) models in the detection of malingering has yielded encouraging results, showing promising accuracy levels. We investigated the possible application of this methodology when trained o…
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I lie, why don't you: Neural mechanisms of individual differences in self‐serving lying Open
People tend to lie in varying degrees. To advance our understanding of the underlying neural mechanisms of this heterogeneity, we investigated individual differences in self‐serving lying. We performed a functional magnetic resonance imagi…
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Verbal Lie Detection: Its Past, Present and Future Open
This article provides an overview of verbal lie detection research. This type of research began in the 1970s with examining the relationship between deception and specific words. We briefly review this initial research. In the late 1980s, …
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A Deep Learning Approach for Multimodal Deception Detection Open
Automatic deception detection is an important task that has gained momentum in computational linguistics due to its potential applications. In this paper, we propose a simple yet tough to beat multi-modal neural model for deception detecti…
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Combining Verbal Veracity Assessment Techniques to Distinguish Truth Tellers from Lie Tellers Open
Cognitive Credibility Assessment (CCA) is a verbal lie detection tool consisting of several interview techniques. These techniques have been examined separately but never together. Reflecting the dynamic nature of CCA we combined several o…
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Information leakage in the Response Time‐Based Concealed Information Test Open
Summary The Response Time‐Based Concealed Information Test (RT‐CIT) can reveal when a person recognizes a relevant ( probe ) item among other, irrelevant items, based on comparatively slow responses to the probe item. For example, if a per…
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The role of anterior prefrontal cortex (area 10) in face-to-face deception measured with fNIRS Open
Anterior prefrontal cortex (PFC, Brodmann area 10) activations are often, but not always, found in neuroimaging studies investigating deception, and the precise role of this area remains unclear. To explore the role of the PFC in face-to-f…
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Using the Reality Interview improves the accuracy of the Criteria‐Based Content Analysis and Reality Monitoring Open
Summary Active interviewing approaches can exploit the verbal differences between truthtellers and liars, thus improving detecting deception. One such method is the Reality Interview (RI) aimed to facilitate recall from truthtellers, while…