Understanding Lie Detection Biases with the Adaptive Lie Detector Theory (ALIED): A Boundedly Rational Approach-Reference-Cited by-同舟云学术

Understanding Lie Detection Biases with the Adaptive Lie Detector Theory (ALIED): A Boundedly Rational Approach

Published:2019 Issue: Volume: Page:227-247
ISSN:
Container-title:The Palgrave Handbook of Deceptive Communication
language:
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Author:

Street Chris N. H.,Masip Jaume,Kenny Megan

Publisher

Springer International Publishing

Link

http://link.springer.com/content/pdf/10.1007/978-3-319-96334-1_12

Reference95 articles.

1. Aamodt, M., & Custer, H. (2006). Who can best catch a liar? A meta-analysis of individual differences in detecting deception. Forensic Examiner, 16, 6–11.

2. Alonso, H., Masip, J., & Garrido, E. (2010). La capacidad de los policías para detectar mentiras [Police officers’ ability to detect lies]. Revista de Derecho Penal y Criminología, 2, 159–196.

3. Ask, K., Greifeneder, R., & Reinhard, M. A. (2012). On the ease of (dis)believing: The role of accessibility experiences in credibility judgments. Applied Cognitive Psychology, 26, 779–784. https://doi.org/10.1002/acp.2859 .

4. Bailey, A. (2002). First philosophy: Fundamental problems and readings in philosophy. Lancashire, UK: Broadview Press.

5. Bamford, G. (1996). Popper and his commentators on the discovery of Neptune: A close shave for the law of gravitation? Studies in History and Philosophy of Science Part A, 27, 207–232. https://doi.org/10.1016/0039-3681(95)00045-3 .

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