Aldert Vrij

TL;DR: In this article, a field study in a large multinational insurance fraud detection company, truth-telling mock claimants and lying mock claimants were interviewed by insurance company telephone operators, but their task was particularly challenging: Claimants said little, and truthful and deceptive statements did not differ in quality (measured with Criteria-Based Content Analysis [CBCA]) or plausibility.

TL;DR: This article investigated experienced police officers' (N = 30) lie detection accuracy and found that they rely on verbal content more when interrogating than when watching video, and that they have a difficult time detecting deception not only in passive contexts but also in active ones.

TL;DR: The study used Grounded Theory to analyze the interviews and developed a model that consists of 4 major themes: "attitudes toward animals," "knowledge of animal use procedures," "perceptions of choice," and "cost-benefit analysis."

TL;DR: In this article, the authors show that deception detection is easier under certain circumstances than under others, that is, spontaneous interviews are more detectable than planned interviews, and the presence of comparison with a baseline facilitates the detection of deception.

TL;DR: It is argued that these findings should caution those who believe that the validity of CBCA has been conclusively demonstrated, and that truth tellers obtained higher CBCA scores than liars only when the liars were uninformed about CBCA.