Deciphering the riddle of human deceit detection: groups comprising a higher number of anxious people are better at distinguishing lies from truths

Ein‐Dor, Tsachi; Perry‐Paldi, Adi; Daniely, Tal; Zohar-Cohen, Karin; Hirschberger, Gilad

doi:10.1080/1068316x.2016.1202251

Cited by 6 publications

(2 citation statements)

References 30 publications

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“…In the current study, there was no expectation with regard to the lie detection performance of the celebrity judges. A recent study has found that small groups demonstrate an elevated lie detection performance relative to individuals (Ein-Dor, Perry-Paldi, Daniely, Zohar-Cohen, & Hirschberger, 2016). Given that the veracity judgements in the current data were made by groups of three individuals assessing one speaker, it was considered possible that the celebrity judges in this study would show a lie detection accuracy that is above chance.…”

Section: The Current Studymentioning

confidence: 80%

The Presence of ‘Um’ as a Marker of Truthfulness in the Speech of TV Personalities

Villar

Castillo

2016

Psychiatry, Psychology and Law

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The aim of this study is to determine whether the presence of the interjection 'um' can distinguish between the deceptive and truthful speech of individuals who are practised in the art of impression management. A total of 50 truthful and 61 deceptive statements were extracted from the speech of celebrities participating in a televised comedy panel show where celebrity guests try to convince an opposing team of their truthfulness. Participants' use of 'um' (measured as a percentage of the total word count of each statement) was analysed. The results show that, on average, 'um' was used almost three times as often in the speakers' true statements compared to their false ones. A discriminant analysis revealed that the presence of 'um' is more effective than human judgement alone in determining veracity. These findings suggest that the presence of the filler 'um' in speech is useful in the identification of true versus false oral statements.

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Section: The Current Studymentioning

confidence: 80%

The Presence of ‘Um’ as a Marker of Truthfulness in the Speech of TV Personalities

Villar

Castillo

2016

Psychiatry, Psychology and Law

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“…For example, a study on small groups has indicated that the most anxious person within each group was the most likely to detect the presence of smoke that came from a seemingly burning computer (Ein‐Dor et al, ). Research also indicates that this vigilance does not merely reflect greater suspicion among anxious individuals, but greater sensitivity such that they show superior performance at detecting other people's emotions (Simpson et al, ), and are significantly better than others at detecting lies from true information (Ein‐Dor & Perry, ; Ein‐Dor, Perry‐Paldi, Daniely, Zohar‐Cohen, & Hirschberger, ).…”

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confidence: 99%

Friend or foe? Evidence that anxious people are better at distinguishing targets from non‐targets

Ein‐Dor

Perry‐Paldi

Hirschberger

2017

Euro J Social Psych

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Armed conflict necessitates the ability to quickly distinguish friend from foe. Failure to make accurate shooting decisions may result in harm either to oneself or to innocent others. The factors that predict such rapid decision making, however, remain unclear. Based on social defense theory, we contend that people high on attachment anxiety possess characteristics that are particularly advantageous in this domain such that anxiously attached individuals will show greater vigilance and accuracy in a realistic shooting paradigm in which they must quickly distinguish between militants (people holding a gun) and innocents (people holding an item with the same color and shape as a gun—Coca‐Cola bottle, black wallet, and black mobile phone). Using signal detection theory algorithms, we calculated sensitivity in performing the behavioral shooting task [D(prime)]. Results indicate that as expected, anxious people demonstrated significantly better shooting accuracy. Implication for contemporary violent conflict is discussed.

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Revisiting Perceiver and Target Gender Effects in Deception Detection

et al. 2018

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Deciphering the riddle of human deceit detection: groups comprising a higher number of anxious people are better at distinguishing lies from truths

Cited by 6 publications

References 30 publications

The Presence of ‘Um’ as a Marker of Truthfulness in the Speech of TV Personalities

The Presence of ‘Um’ as a Marker of Truthfulness in the Speech of TV Personalities

Friend or foe? Evidence that anxious people are better at distinguishing targets from non‐targets

Revisiting Perceiver and Target Gender Effects in Deception Detection

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