A longitudinal analysis of language behavior of deception in E-mail

Lina Zhou, Judee K. Burgoon, Douglas P. Twitchell

Research output: Chapter in Book/Report/Conference proceedingChapter

26 Scopus citations

Abstract

The detection of deception is a promising but challenging task. Previous exploratory research on deception in computer-mediated communication found that language cues were effective in differentiating deceivers from truthtellers. However, whether and how these language cues change over time remains an open issue. In this paper, we investigate the effect of time on cues to deception in an empirical study. The preliminary results showed that some cues to deception change over time, while others do not. The explanation for the lack of change in the latter cases is provided. In addition, we show that the number and type of cues to deception vary from time to time. We also suggest what could be the best time to investigate cues to deception in a continuous email communication.

Original languageEnglish (US)
Title of host publicationLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
EditorsHsinchun Chen, Daniel D. Zeng, Therani Madhusudan, Richard Miranda, Jenny Schroeder, Chris Demchak
PublisherSpringer-Verlag
Pages102-110
Number of pages9
ISBN (Print)354040189X, 9783540401896
DOIs
StatePublished - 2003

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume2665
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

ASJC Scopus subject areas

  • Theoretical Computer Science
  • Computer Science(all)

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