[Corpora-List] (new book) Fitzpatrick et al: Automatic Detection of Verbal Deception

Graeme Hirst gh at cs.toronto.edu
Mon Sep 14 20:35:26 CEST 2015


Automatic Detection of Verbal Deception

by Eileen Fitzpatrick (Montclair State University), Joan Bachenko (Linguistech LLC), and Tommaso Fornaciari (Italian National Police)

Synthesis Lectures on Human Language Technologies #29 (Morgan & Claypool Publishers), 2015, 121 pages


The attempt to spot deception through its correlates in human behavior has a long history. Until recently, these efforts have concentrated on identifying individual "cues" that might occur with deception. However, with the advent of computational means to analyze language and other human behavior, we now have the ability to determine whether there are consistent clusters of differences in behavior that might be associated with a false statement as opposed to a true one. While its focus is on verbal behavior, this book describes a range of behaviors -- physiological, gestural as well as verbal -- that have been proposed as indicators of deception. An overview of the primary psychological and cognitive theories that have been offered as explanations of deceptive behaviors gives context for the description of specific behaviors. The book also addresses the differences between data collected in a laboratory and "real-world" data with respect to the emotional and cognitive state of the liar. It discusses sources of real-world data and problematic issues in its collection and identifies the primary areas in which applied studies based on real-world data are critical, including police, security, border crossing, customs, and asylum interviews; congressional hearings; financial reporting; legal depositions; human resource evaluation; predatory communications that include Internet scams, identity theft, and fraud; and false product reviews. Having established the background, this book concentrates on computational analyses of deceptive verbal behavior that have enabled the field of deception studies to move from individual cues to overall differences in behavior. The computational work is organized around the features used for classification from n-gram through syntax to predicate-argument and rhetorical structure. The book concludes with a set of open questions that the computational work has generated.

http://www.morganclaypool.com/doi/abs/10.2200/S00656ED1V01Y201507HLT029 <http://www.morganclaypool.com/doi/abs/10.2200/S00656ED1V01Y201507HLT029>

This title is available online without charge to members of institutions that have licensed the Synthesis Digital Library of Engineering and Computer Science. Members of licensing institutions have unlimited access to download, save, and print the PDF without restriction; use of the book as a course text is encouraged. To find out whether your institution is a subscriber, visit http://www.morganclaypool.com/page/licensed <http://www.morganclaypool.com/page/licensed>, or just click on the book's URL above from an institutional IP address and attempt to download the PDF. Others may purchase the book from this URL as a PDF download for US$30 or in print for US$40. Printed copies are also available from Amazon and from booksellers worldwide at approximately US$45 or local currency equivalent.

:::: Graeme Hirst • Series editor, Synthesis Lectures in Human Language Technologies
:::: University of Toronto • Department of Computer Science

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