• DocumentCode
    3302711
  • Title

    Predicting Veracity from Linguistic Indicators

  • Author

    Burgoon, Judee K. ; Hamel, Lauren ; Qin, Tiantian

  • Author_Institution
    Center for the Manage. of Inf., Univ. of Arizona Tucson, Tucson, AZ, USA
  • fYear
    2012
  • fDate
    22-24 Aug. 2012
  • Firstpage
    323
  • Lastpage
    328
  • Abstract
    Ample scientific research has confirmed significant linguistic differences between truthful and deceptive discourse in both laboratory and field experiments. The current investigation focused on whether indicators of truth or deception are context-independent or are influenced by two context factors: motivation and modality. A 2 (veracity: truthful/deceptive) by 2 (incentives: high/low) by 3 (modality: FtF/audio/text) factorial experiment revealed that linguistic indicators are significantly related to veracity but results are highly sensitive to contextual factors.
  • Keywords
    computational linguistics; trusted computing; contextual factors; deceptive discourse; linguistic indicators; modality factor; motivation factor; truthful discourse; veracity prediction; Complexity theory; Context; Dictionaries; Educational institutions; Interviews; Pragmatics; Redundancy; deception; linguistics; modality; motivation; veracity;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Intelligence and Security Informatics Conference (EISIC), 2012 European
  • Conference_Location
    Odense
  • Print_ISBN
    978-1-4673-2358-1
  • Type

    conf

  • DOI
    10.1109/EISIC.2012.21
  • Filename
    6298856