Detecting Individual-Level Deception in the Digital Age: The DETECT Model ©

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Author(s): Eugenie de Silva (Booz Allen Hamilton, USA)
Copyright: 2020
Pages: 22
Source title: Improving the Safety and Efficiency of Emergency Services: Emerging Tools and Technologies for First Responders
Source Author(s)/Editor(s): Information Resources Management Association (USA)
DOI: 10.4018/978-1-7998-2535-7.ch012

Keywords: Business Science Reference / Crisis Response and Management / Emergency & Disaster Management / Government & Law

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Abstract

This chapter presents a discussion of a new model titled, “DETECT (Determining and Evaluating Truthfulness through Explicit Cue Testing) which relies upon the assessment of verbal and non-verbal cues. The author presents the argument that the digital age has posed novel challenges to law enforcement and intelligence personnel; hence, the author further explains the ways in which the DETECT model (©, Eugenie de Silva, 2014) can be used to determine deceptive activities at the individual-level even in a technologically advanced society. The chapter touches upon Denial and Deception (D&D), and how the detection of deception must be carried out in the twenty-first century, especially through rigorous monitoring within the established legal framework.

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Detecting Individual-Level Deception in the Digital Age: The DETECT Model ©

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