Detecting deception through linguistic analysis

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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. © Springer-Verlag Berlin Heidelberg 2003.

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Burgoon, J. K., Blair, J. P., Qin, T., & Nunamaker, J. F. (2003). Detecting deception through linguistic analysis. Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 2665, 91–101. https://doi.org/10.1007/3-540-44853-5_7

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