An Exploratory Study into Deception Detection in Text-Based Computer-Mediated Communication
HICSS '03 Proceedings of the 36th Annual Hawaii International Conference on System Sciences (HICSS'03) - Track1 - Volume 1
Group Support Systems and Deceptive Communication
HICSS '99 Proceedings of the Thirty-Second Annual Hawaii International Conference on System Sciences-Volume 1 - Volume 1
Language and the Internet
A Comparison of Classification Methods for Predicting Deception in Computer-Mediated Communication
Journal of Management Information Systems
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Foundations and Trends in Information Retrieval
Identification of fraudulent financial statements using linguistic credibility analysis
Decision Support Systems
Adaptive context modeling for deception detection in emails
MLDM'11 Proceedings of the 7th international conference on Machine learning and data mining in pattern recognition
Leveraging one-class SVM and semantic analysis to detect anomalous content
ISI'05 Proceedings of the 2005 IEEE international conference on Intelligence and Security Informatics
Detecting deception in synchronous computer-mediated communication using speech act profiling
ISI'05 Proceedings of the 2005 IEEE international conference on Intelligence and Security Informatics
"I don't know where he is not": does deception research yet offer a basis for deception detectives?
EACL 2012 Proceedings of the Workshop on Computational Approaches to Deception Detection
Deception in avatar-mediated virtual environment
Computers in Human Behavior
Deception detection for the tangled web
ACM SIGCAS Computers and Society
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The detection of deception is a promising but challenging task. Previous exploratory research on deception in computer-mediated communication found that language cues were effective in differentiating deceivers from truthtellers. However, whether and how these language cues change over time remains an open issue. In this paper, we investigate the effect of time on cues to deception in an empirical study. The preliminary results showed that some cues to deception change over time, while others do not. The explanation for the lack of change in the latter cases is provided. In addition, we show that the number and type of cues to deception vary from time to time. We also suggest what could be the best time to investigate cues to deception in a continuous email communication.