Deception detection: dependable or defective?

Vartapetiance, A and Gillam, L (2014) Deception detection: dependable or defective? Social Network Analysis and Mining, 4 (166).

	Text art10.1007s13278-014-0166-8.pdf Restricted to Repository staff only Available under License : See the attached licence file. Download (425kB)
Preview	Text (licence) SRI_deposit_agreement.pdf Available under License : See the attached licence file. Download (33kB) | Preview

Abstract

How do human beings tell the difference between truths and lies, and avoid being deceived? And is it possible for a machine to determine the veracity of any given statement or set of statements prior to incorporating such statements in a knowledge base, or to determine whether the deception even exists at the statement level? This paper reviews past research in deception and its detection to explore such questions. We focus in on various inconsistencies, contradictions, and other difficulties in recent deception research, and show how the nature of the deception largely dictates the methods that can be deployed effectively in detection by reference to several experiments on materials which can have a strongly deceptive framing.

Item Type:	Article
Divisions :	Faculty of Engineering and Physical Sciences > Computing Science
Authors :	Name Email ORCID Vartapetiance, A Gillam, L
Date :	1 March 2014
DOI :	10.1007/s13278-014-0166-8
Depositing User :	Symplectic Elements
Date Deposited :	06 Apr 2016 14:35
Last Modified :	31 Oct 2017 16:50
URI:	http://epubs.surrey.ac.uk/id/eprint/805795

Actions (login required)

View Item

Downloads