Detecting deception in synchronous computer-mediated communication using speech act profiling

Douglas P. Twitchell; Nicole Forsgren; Karl Wiers; Judee K. Burgoon; Jay F. Nunamaker

doi:10.1007/11427995_45

Detecting deception in synchronous computer-mediated communication using speech act profiling

Douglas P. Twitchell, Nicole Forsgren, Karl Wiers, Judee K. Burgoon, Jay F. Nunamaker

Information Technology and Supply Chain Management Department

University of Arizona

Research output: Contribution to journal › Conference article › peer-review

8 Scopus citations

Abstract

Detecting deception is a complicated endeavor. Previous attempts at deception detection in computer-mediated communication have met with some success. This study shows how speech act profiling [1] can be used to aid deception detection in synchronous computer-mediated communication (S-CMC). Chat logs from an online group game where deception was introduced were subjected to speech act profiling analysis. The results provide some support to previous research showing greater uncertainty in deceptive S-CMC. Also shown is that deceivers in the specific task tend to engage in less strategizing than non-deceivers.

Original language	English
Pages (from-to)	471-478
Number of pages	8
Journal	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume	3495
DOIs	https://doi.org/10.1007/11427995_45
State	Published - 2005
Event	IEEE International Conference on Intelligence and Security Informatics, ISI 2005 - Atlanta, GA, United States Duration: 19 May 2005 → 20 May 2005

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10.1007/11427995_45

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title = "Detecting deception in synchronous computer-mediated communication using speech act profiling",

abstract = "Detecting deception is a complicated endeavor. Previous attempts at deception detection in computer-mediated communication have met with some success. This study shows how speech act profiling [1] can be used to aid deception detection in synchronous computer-mediated communication (S-CMC). Chat logs from an online group game where deception was introduced were subjected to speech act profiling analysis. The results provide some support to previous research showing greater uncertainty in deceptive S-CMC. Also shown is that deceivers in the specific task tend to engage in less strategizing than non-deceivers.",

author = "Twitchell, \{Douglas P.\} and Nicole Forsgren and Karl Wiers and Burgoon, \{Judee K.\} and Nunamaker, \{Jay F.\}",

year = "2005",

doi = "10.1007/11427995\_45",

language = "English",

volume = "3495",

pages = "471--478",

note = "IEEE International Conference on Intelligence and Security Informatics, ISI 2005 ; Conference date: 19-05-2005 Through 20-05-2005",

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Detecting deception in synchronous computer-mediated communication using speech act profiling. / Twitchell, Douglas P.; Forsgren, Nicole; Wiers, Karl et al.
In: Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), Vol. 3495, 2005, p. 471-478.

Research output: Contribution to journal › Conference article › peer-review

TY - JOUR

T1 - Detecting deception in synchronous computer-mediated communication using speech act profiling

AU - Twitchell, Douglas P.

AU - Forsgren, Nicole

AU - Wiers, Karl

AU - Burgoon, Judee K.

AU - Nunamaker, Jay F.

PY - 2005

Y1 - 2005

N2 - Detecting deception is a complicated endeavor. Previous attempts at deception detection in computer-mediated communication have met with some success. This study shows how speech act profiling [1] can be used to aid deception detection in synchronous computer-mediated communication (S-CMC). Chat logs from an online group game where deception was introduced were subjected to speech act profiling analysis. The results provide some support to previous research showing greater uncertainty in deceptive S-CMC. Also shown is that deceivers in the specific task tend to engage in less strategizing than non-deceivers.

AB - Detecting deception is a complicated endeavor. Previous attempts at deception detection in computer-mediated communication have met with some success. This study shows how speech act profiling [1] can be used to aid deception detection in synchronous computer-mediated communication (S-CMC). Chat logs from an online group game where deception was introduced were subjected to speech act profiling analysis. The results provide some support to previous research showing greater uncertainty in deceptive S-CMC. Also shown is that deceivers in the specific task tend to engage in less strategizing than non-deceivers.

UR - https://www.scopus.com/pages/publications/24944527131

U2 - 10.1007/11427995_45

DO - 10.1007/11427995_45

M3 - Conference article

AN - SCOPUS:24944527131

SN - 0302-9743

VL - 3495

SP - 471

EP - 478

JO - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

JF - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

T2 - IEEE International Conference on Intelligence and Security Informatics, ISI 2005

Y2 - 19 May 2005 through 20 May 2005

ER -

Detecting deception in synchronous computer-mediated communication using speech act profiling

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