Results 241 to 250 of about 8,383 (299)

Domain-independent deception: a new taxonomy and linguistic analysis. [PDF]

open access: yesFront Big Data
Verma RM   +4 more
europepmc   +1 more source

Detection of Deception

open access: yes, 2018
Much research has examined people’s ability to correctly distinguish between honest and deceptive communication. The ability to detect deception is useful, but many misconceptions about effective lie detection have been documented. Research on deception is especially informative because the findings of research often contradict common sense.
Timothy R. Levine
openaire   +2 more sources

Psychopathy and deception detection

Personality and Mental Health, 2012
ABSTRACTResearchers have found that most people have difficulty detecting deception; however, certain individuals are able to consistently detect deception above the level of chance. This study examined whether psychopathic traits are related to deception detection.
Krystle, Martin, Amy-May, Leach
openaire   +2 more sources

Detecting deception in testimony

2008 IEEE International Conference on Intelligence and Security Informatics, 2008
Several models for deception in text, based on changes in usage frequency of certain classes of words, have been proposed. These are empirically derived from settings in which individuals are asked to lie or be truthful in freeform text. We consider the problem of detecting deception in testimony, where the content generated must necessarily be ...
Ayron Little, David B. Skillicorn
openaire   +1 more source

Modality Effects in Deception Detection and Applications in Automatic-Deception-Detection

Proceedings of the 38th Annual Hawaii International Conference on System Sciences, 2005
Modality is an important context factor in deception, which is context-dependent. In order to build a reliable and flexible tool for automatic-deception-detection (ADD), we investigated the characteristics of verbal cues to deceptive behavior in three modalities: text, audio and face-to-face communication. Seven categories of verbal cues (21 cues) were
Tiantian Qin   +3 more
openaire   +1 more source

The Detection of Deception

Neurologic Clinics, 1995
In clinical situations patient honesty and self-interest usually coincide; however, in legal circumstances patients may be motivated to deceive and may be skilled in doing so. Research raises doubts about the capacity of health professionals to detect malingering, particularly when there is less known about conditions or expected symptom patterns, more
openaire   +3 more sources

Deception detection for the tangled web

ACM SIGCAS Computers and Society, 2012
Deception is a reasonably common part of daily life that society sometimes demonstrates a degree of acceptance of, and occasionally people are very willing to be deceived. But can a computer identify deception and distinguish it from that which is not deceptive?
Gillam, L, Vartapetiance, A
openaire   +3 more sources

The Impact of Culture in Deception and Deception Detection

2021
This chapter examines the role of culture in deception. It opens by explaining how culture has been measured in the research literature, along with the consequences and critiques of those measurement strategies. Next, it explores how culture has been studied previously in the context of deception and addresses variations in those analyses such as ...
Matt Giles   +3 more
openaire   +1 more source

Detecting deception

Behavioral and Brain Sciences, 1997
I find three major shortcomings in Mele's account. First, verbal ambiguities suggest that the analysis is irrelevant to self-deception and/or that the traditional conception is subtly reinstated. Second, the data offer no means of establishing the superiority of the present account. Finally, as political rhetoric, Mele's proposal not only operates
openaire   +2 more sources

Detecting deception in reputation management

Proceedings of the second international joint conference on Autonomous agents and multiagent systems, 2003
We previously developed a social mechanism for distributed reputation management, in which an agent combines testimonies from several witnesses to determine its ratings of another agent. However, that approach does not fully protect against spurious ratings generated by malicious agents.
Bin Yu 0006, Munindar P. Singh
openaire   +1 more source

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