Using speech act profiling for deception detection

Douglas P. Twitchell; Jay F. Nunamaker; Judee K. Burgoon

Using speech act profiling for deception detection

Douglas P. Twitchell, Jay F. Nunamaker, Judee K. Burgoon

Research output: Contribution to journal › Article › peer-review

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.

Original language	English (US)
Pages (from-to)	403-410
Number of pages	8
Journal	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume	3073
State	Published - Dec 1 2004

ASJC Scopus subject areas

Theoretical Computer Science
General Computer Science

Cite this

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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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Using speech act profiling for deception detection

Abstract

ASJC Scopus subject areas

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