Using speech act profiling for deception detection

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

Research output: Contribution to journalArticle

23 Scopus citations

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 languageEnglish (US)
Pages (from-to)403-410
Number of pages8
JournalLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume3073
StatePublished - Dec 1 2004

ASJC Scopus subject areas

  • Theoretical Computer Science
  • Computer Science(all)

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