Article

Detecting deception through linguistic analysis

Authors:

Judee K. Burgoon,

J. P. Blair,

Tiantian Qin,

Jay F. Nunamaker, Jr.Authors Info & Claims

ISI'03: Proceedings of the 1st NSF/NIJ conference on Intelligence and security informatics

Pages 91 - 101

Published: 02 June 2003 Publication History

Abstract

Tools to detect deceit from language use pose a promising avenue for increasing the ability to distinguish truthful transmissions, transcripts, intercepted messages, informant reports and the like from deceptive ones. This investigation presents preliminary tests of 16 linguistic features that can be automated to return assessments of the likely truthful or deceptiveness of a piece of text. Results from a mock theft experiment demonstrate that deceivers do utilize language differently than truth tellers and that combinations of cues can improve the ability to predict which texts may contain deception.

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Gröndahl TAsokan N(2019)Text Analysis in Adversarial SettingsACM Computing Surveys10.1145/331033152:3(1-36)Online publication date: 18-Jun-2019
https://dl.acm.org/doi/10.1145/3310331
Zannettou SSirivianos MBlackburn JKourtellis N(2019)The Web of False InformationJournal of Data and Information Quality10.1145/330969911:3(1-37)Online publication date: 7-May-2019
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Appling DBriscoe EHutto CGangemi ALeonardi SPanconesi A(2015)Discriminative Models for Predicting Deception StrategiesProceedings of the 24th International Conference on World Wide Web10.1145/2740908.2742575(947-952)Online publication date: 18-May-2015
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Information

Published In

ISI'03: Proceedings of the 1st NSF/NIJ conference on Intelligence and security informatics

June 2003

392 pages

ISBN:354040189X

Editors:
Hsinchun Chen
University of Arizona, Department of Management Information Systems, Tucson, AZ
,
Daniel D. Zeng
University of Arizona, Department of Management Information Systems, Tucson, AZ
,
Therani Madhusudan
University of Arizona, Department of Management Information Systems, Tucson, AZ
,
Richard Miranda
Tucson Police Department, Tucson, AZ
,
Jenny Schroeder
Tucson Police Department, Tucson, AZ
,
Chris Demchak
University of Arizona, School of Public Administration and Policy, Tucson, AZ

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Springer-Verlag

Berlin, Heidelberg

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Published: 02 June 2003

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Gröndahl TAsokan N(2019)Text Analysis in Adversarial SettingsACM Computing Surveys10.1145/331033152:3(1-36)Online publication date: 18-Jun-2019
https://dl.acm.org/doi/10.1145/3310331
Zannettou SSirivianos MBlackburn JKourtellis N(2019)The Web of False InformationJournal of Data and Information Quality10.1145/330969911:3(1-37)Online publication date: 7-May-2019
https://dl.acm.org/doi/10.1145/3309699
Appling DBriscoe EHutto CGangemi ALeonardi SPanconesi A(2015)Discriminative Models for Predicting Deception StrategiesProceedings of the 24th International Conference on World Wide Web10.1145/2740908.2742575(947-952)Online publication date: 18-May-2015
https://dl.acm.org/doi/10.1145/2740908.2742575
Almela ÁValencia-García RCantos P(2012)Seeing through deceptionProceedings of the Workshop on Computational Approaches to Deception Detection10.5555/2388616.2388619(15-22)Online publication date: 23-Apr-2012
https://dl.acm.org/doi/10.5555/2388616.2388619
Vartapetiance AGillam L(2012)"I don't know where he is not"Proceedings of the Workshop on Computational Approaches to Deception Detection10.5555/2388616.2388618(5-14)Online publication date: 23-Apr-2012
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Yang YMannino M(2012)An Experimental Comparison of a Document Deception Detection Policy using Real and Artificial DeceptionJournal of Data and Information Quality10.1145/2287714.22877163:3(1-25)Online publication date: 1-Aug-2012
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Yilmazel OSymonenko SBalasubramanian NLiddy E(2005)Leveraging one-class SVM and semantic analysis to detect anomalous contentProceedings of the 2005 IEEE international conference on Intelligence and Security Informatics10.1007/11427995_32(381-388)Online publication date: 19-May-2005
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Meservy TJensen MKruse JBurgoon JNunamaker J(2005)Automatic extraction of deceptive behavioral cues from videoProceedings of the 2005 IEEE international conference on Intelligence and Security Informatics10.1007/11427995_16(198-208)Online publication date: 19-May-2005
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