Abstract
The rising use of synchronous text-based computer-mediated communication (CMC) such as chat rooms and instant messaging in government agencies and the business world presents a potential risk to these organizations. There are no current methods for visualizing or analyzing these persistent conversations to detect deception. Speech act profiling is a method for analyzing and visualizing online conversations, and this paper shows its use for distinguishing online conversations that express uncertainty, an indicator of deception.
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Twitchell, D.P., Nunamaker, J.F., Burgoon, J.K. (2004). Using Speech Act Profiling for Deception Detection. In: Chen, H., Moore, R., Zeng, D.D., Leavitt, J. (eds) Intelligence and Security Informatics. ISI 2004. Lecture Notes in Computer Science, vol 3073. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-25952-7_30
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DOI: https://doi.org/10.1007/978-3-540-25952-7_30
Publisher Name: Springer, Berlin, Heidelberg
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