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An Examination and Validation of Linguistic Constructs for Studying High-Stakes Deception

Author

Listed:
  • Christie M. Fuller

    (Louisiana Tech University)

  • David P. Biros

    (Oklahoma State University
    Edith Cowen University)

  • Judee Burgoon

    (University of Arizona)

  • Jay Nunamaker

    (University of Arizona)

Abstract

Theories of deception have produced upwards of 150 potential verbal and nonverbal communication indicators. Of these, approximately 30 indicators, or cues, have been used previously with automated linguistic analysis tools to study text-based communication. The current research examines the interrelationships among these cues and proposes a set of specific constructs to be validated for high-stakes deception research. We analyzed linguistic-based cues extracted from 367 written statements prepared by suspects and victims of crimes on military bases. Confirmatory factor analysis was used to evaluate two models. The superior model retained seven constructs: quantity, specificity, affect, diversity, uncertainty, nonimmediacy, and activation.

Suggested Citation

  • Christie M. Fuller & David P. Biros & Judee Burgoon & Jay Nunamaker, 2013. "An Examination and Validation of Linguistic Constructs for Studying High-Stakes Deception," Group Decision and Negotiation, Springer, vol. 22(1), pages 117-134, January.
    • Handle: RePEc:spr:grdene:v:22:y:2013:i:1:d:10.1007_s10726-012-9300-z
    DOI: 10.1007/s10726-012-9300-z
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    Cited by:

    1. Nicolas Pröllochs & Stefan Feuerriegel & Dirk Neumann, 2018. "Statistical inferences for polarity identification in natural language," PLOS ONE, Public Library of Science, vol. 13(12), pages 1-21, December.
    2. Tim Kollmer & Andreas Eckhardt & Victoria Reibenspiess, 2022. "Explaining consumer suspicion: insights of a vignette study on online product reviews," Electronic Markets, Springer;IIM University of St. Gallen, vol. 32(3), pages 1221-1238, September.
    3. Divinus Oppong-Tawiah & Jane Webster, 2023. "Corporate Sustainability Communication as ‘Fake News’: Firms’ Greenwashing on Twitter," Sustainability, MDPI, vol. 15(8), pages 1-26, April.

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