HICSS '04 Proceedings of the Proceedings of the 37th Annual Hawaii International Conference on System Sciences (HICSS'04) - Track 4 - Volume 4
Automatically detecting deceptive criminal identities
Communications of the ACM - Homeland security
Dialogue act modeling for automatic tagging and recognition of conversational speech
Computational Linguistics
StrikeCOM: A Multi-Player Online Strategy Game for Researching and Teaching Group Dynamics
HICSS '05 Proceedings of the Proceedings of the 38th Annual Hawaii International Conference on System Sciences (HICSS'05) - Track 1 - Volume 01
A Comparison of Classification Methods for Predicting Deception in Computer-Mediated Communication
Journal of Management Information Systems
A longitudinal analysis of language behavior of deception in e-mail
ISI'03 Proceedings of the 1st NSF/NIJ conference on Intelligence and security informatics
Following linguistic footprints: automatic deception detection in online communication
Communications of the ACM - Enterprise information integration: and other tools for merging data
Detecting Deceptive Chat-Based Communication Using Typing Behavior and Message Cues
ACM Transactions on Management Information Systems (TMIS)
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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.