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Articles

Detecting deception using comparable truth baselines

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Pages 567-583 | Received 06 Apr 2021, Accepted 04 Jan 2022, Published online: 22 Jan 2022
 

ABSTRACT

Baselining – comparing the statements of interest to a known truthful statement by the same individual – has been suggested to improve lie detection accuracy. A potential downside of baselining is that it might influence the characteristics of a subsequent statement, as was shown in previous studies. In our first experiment we examined this claim but found no evidence that a truthful baseline influenced the characteristics of a subsequent statement. Next, we investigated whether using a truthful baseline statement as a within-subject comparison would improve lie detection performance by investigating verbal cues (Experiment 1) and intuitive judgements of human judges (Experiment 2). Our exploratory analyses showed that truth tellers included more auditory and temporal details in their target statement than in their baseline than liars. Observers did not identify this verbal pattern. Exposure to a truthful baseline statement resulted in a lower truth accuracy but no difference in lie accuracy.

Disclosure statement

No potential conflict of interest was reported by the author(s).

Notes

1 Interpretations of the results of the statistical main analyses (hypotheses testing) were similar with and without the outliers, except for the ANCOVA. Without outliers, the results showed no veracity main effect F(1,85)    1.80, p = .18, f= .10). The covariate, RM Baseline score, was still significantly related to the RM target score F(1,85)    34.86, p < .001, f= .62, R2 = .29.

Additional information

Funding

This publication is part of the project “Outsmarting liars” with project number VI.Veni.201G.016 of the research programme Veni which is financed by the Dutch Research Council (NWO) and by the University Fund Limburg (UFL) SWOL [Grant Number CoBes18.038].