@inbook{0415b81ab8d7442fa1e116e8422086de,
title = "Using speech act profiling for deception detection",
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.",
author = "Twitchell, {Douglas P.} and Nunamaker, {Jay F.} and Burgoon, {Judee K.}",
year = "2004",
doi = "10.1007/978-3-540-25952-7_30",
language = "English",
series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",
publisher = "Springer Verlag",
pages = "403--410",
editor = "Hsinchun Chen and Zeng, {Daniel D.} and Reagan Moore and John Leavitt",
booktitle = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",
address = "Germany",
}