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Improving a textual deception detection model

Published: 16 October 2006 Publication History

Abstract

In intelligence, law enforcement, and, increasingly, organizational settings there is interest in detecting deception; for example, in intercepted phone calls, emails, and web sites. Humans are not naturally good at detecting deception, but recent work has shown that deception is actually readily detectable - using markers that humans don't see but which software can readily compute. Pennebaker's model suggests that deceptive communication is characterized by changes in the frequency of four kinds of words: first-person pronouns, exception words, negative emotion words, and action words.We investigate what can be learned about the deception model by applying it to a large corpus of Enron emails. We show that each of the four kinds of words in the Pennebaker model acts as a separate latent factor for deception, rather than having their effects mixed together.

References

[1]
D. P. Biros, J. Sakamoto, J. F. George, M. Adkins, J. Kruse, J. K. Burgoon, and J. F. Nunamaker Jr. A quasi-experiment to determine the impact of a computer based deception detection training system: The use of Agent 99 trainer in the US military. In Proceedings of the 38th Hawaii Intl Conference on Systems Science, volume 1, 2005.
[2]
P. S. Keila and D. B. Skillicorn. Structure in the Enron email dataset. Computational and Mathematical Organization Theory, 11(3):183--199, 2005.
[3]
M. L. Newman, J. W. Pennebaker, D. S. Berry, and J. M. Richards. Lying words: Predicting deception from linguistic style. Personality and Social Psychology Bulletin, 29:665--675, 2003.
[4]
J. W. Pennebaker, M. E. Francis, and R. J. Booth. Linguistic inquiry and word count (LIWC). Erlbaum Publishers, 2001.
[5]
L. Zhou, D. P. Twitchell, T. Qin, J. K. Burgoon, and J. F. Nunamaker Jr. An exploratory study into deception detection in text-based computer mediated communication. In Proceedings of the 36th Hawaii Intl Conference on Systems Science, 2003.

Cited By

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  • (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
  • (2012)Deception detection for the tangled webACM SIGCAS Computers and Society10.1145/2422512.242251742:1(34-47)Online publication date: 1-Aug-2012
  • (2010)Identifying emotions, intentions, and attitudes in text using a game with a purposeProceedings of the NAACL HLT 2010 Workshop on Computational Approaches to Analysis and Generation of Emotion in Text10.5555/1860631.1860640(71-79)Online publication date: 5-Jun-2010

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Published In

cover image DL Hosted proceedings
CASCON '06: Proceedings of the 2006 conference of the Center for Advanced Studies on Collaborative research
October 2006
388 pages

Sponsors

  • IBM Toronto Lab
  • CAS

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IBM Corp.

United States

Publication History

Published: 16 October 2006

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CASCON '06 Paper Acceptance Rate 24 of 90 submissions, 27%;
Overall Acceptance Rate 24 of 90 submissions, 27%

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Cited By

View all
  • (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
  • (2012)Deception detection for the tangled webACM SIGCAS Computers and Society10.1145/2422512.242251742:1(34-47)Online publication date: 1-Aug-2012
  • (2010)Identifying emotions, intentions, and attitudes in text using a game with a purposeProceedings of the NAACL HLT 2010 Workshop on Computational Approaches to Analysis and Generation of Emotion in Text10.5555/1860631.1860640(71-79)Online publication date: 5-Jun-2010

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