IDEAS home Printed from https://ideas.repec.org/a/spr/grdene/v13y2004i1d10.1023_bgrup.0000011944.62889.6f.html
   My bibliography  Save this article

Automating Linguistics-Based Cues for Detecting Deception in Text-Based Asynchronous Computer-Mediated Communications

Author

Listed:
  • Lina Zhou

    (University of Maryland)

  • Judee K. Burgoon

    (University of Arizona)

  • Jay F. Nunamaker

    (University of Arizona)

  • Doug Twitchell

    (University of Arizona)

Abstract

The detection of deception is a promising but challenging task. A systematic discussion of automated Linguistics Based Cues (LBC) to deception has rarely been touched before. The experiment studied the effectiveness of automated LBC in the context of text-based asynchronous computer mediated communication (TA-CMC). Twenty-seven cues either extracted from the prior research or created for this study were clustered into nine linguistics constructs: quantity, diversity, complexity, specificity, expressivity, informality, affect, uncertainty, and nonimmediacy. A test of the selected LBC in a simulated TA-CMC experiment showed that: (1) a systematic analysis of linguistic information could be useful in the detection of deception; (2) some existing LBC were effective as expected, while some others turned out in the opposite direction to the prediction of the prior research; and (3) some newly discovered linguistic constructs and their component LBC were helpful in differentiating deception from truth.

Suggested Citation

  • Lina Zhou & Judee K. Burgoon & Jay F. Nunamaker & Doug Twitchell, 2004. "Automating Linguistics-Based Cues for Detecting Deception in Text-Based Asynchronous Computer-Mediated Communications," Group Decision and Negotiation, Springer, vol. 13(1), pages 81-106, January.
    • Handle: RePEc:spr:grdene:v:13:y:2004:i:1:d:10.1023_b:grup.0000011944.62889.6f
    DOI: 10.1023/B:GRUP.0000011944.62889.6f
    as

    Download full text from publisher

    File URL: http://link.springer.com/10.1023/B:GRUP.0000011944.62889.6f
    File Function: Abstract
    Download Restriction: Access to the full text of the articles in this series is restricted.
    File URL: https://libkey.io/10.1023/B:GRUP.0000011944.62889.6f?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Matthew L. Jensen & Thomas O. Meservy & Judee K. Burgoon & Jay F. Nunamaker, 2010. "Automatic, Multimodal Evaluation of Human Interaction," Group Decision and Negotiation, Springer, vol. 19(4), pages 367-389, July.
    2. Sunita Goel & Jagdish Gangolly, 2012. "Beyond The Numbers: Mining The Annual Reports For Hidden Cues Indicative Of Financial Statement Fraud," Intelligent Systems in Accounting, Finance and Management, John Wiley & Sons, Ltd., vol. 19(2), pages 75-89, April.
    3. Chen, Yuh-Jen & Wu, Chun-Han & Chen, Yuh-Min & Li, Hsin-Ying & Chen, Huei-Kuen, 2017. "Enhancement of fraud detection for narratives in annual reports," International Journal of Accounting Information Systems, Elsevier, vol. 26(C), pages 32-45.
    4. Moon, Sangkil & Kim, Moon-Yong & Bergey, Paul K., 2019. "Estimating deception in consumer reviews based on extreme terms: Comparison analysis of open vs. closed hotel reservation platforms," Journal of Business Research, Elsevier, vol. 102(C), pages 83-96.
    5. Lina Zhou & Jie Tao & Dongsong Zhang, 2023. "Does Fake News in Different Languages Tell the Same Story? An Analysis of Multi-level Thematic and Emotional Characteristics of News about COVID-19," Information Systems Frontiers, Springer, vol. 25(2), pages 493-512, April.
    6. Hugo Queiroz Abonizio & Janaina Ignacio de Morais & Gabriel Marques Tavares & Sylvio Barbon Junior, 2020. "Language-Independent Fake News Detection: English, Portuguese, and Spanish Mutual Features," Future Internet, MDPI, vol. 12(5), pages 1-18, May.
    7. Lyn M. Swol & Michael T. Braun, 2014. "Communicating Deception: Differences in Language Use, Justifications, and Questions for Lies, Omissions, and Truths," Group Decision and Negotiation, Springer, vol. 23(6), pages 1343-1367, November.
    8. Russell Craig & Tony Mortensen & Shefali Iyer, 2013. "Exploring Top Management Language for Signals of Possible Deception: The Words of Satyam’s Chair Ramalinga Raju," Journal of Business Ethics, Springer, vol. 113(2), pages 333-347, March.
    9. Zehrer, Anita & Crotts, John C. & Magnini, Vincent P., 2011. "The perceived usefulness of blog postings: An extension of the expectancy-disconfirmation paradigm," Tourism Management, Elsevier, vol. 32(1), pages 106-113.
    10. Sunita Goel & Ozlem Uzuner, 2016. "Do Sentiments Matter in Fraud Detection? Estimating Semantic Orientation of Annual Reports," Intelligent Systems in Accounting, Finance and Management, John Wiley & Sons, Ltd., vol. 23(3), pages 215-239, July.
    11. Ka Chung Ng & Ping Fan Ke & Mike K. P. So & Kar Yan Tam, 2023. "Augmenting fake content detection in online platforms: A domain adaptive transfer learning via adversarial training approach," Production and Operations Management, Production and Operations Management Society, vol. 32(7), pages 2101-2122, July.
    12. Jihyun Esther Paik & Lyn M. Swol, 2017. "Justifications and Questions in Detecting Deception," Group Decision and Negotiation, Springer, vol. 26(6), pages 1041-1060, November.
    13. Michael T. Braun & Lyn M. Swol, 2016. "Justifications Offered, Questions Asked, and Linguistic Patterns in Deceptive and Truthful Monetary Interactions," Group Decision and Negotiation, Springer, vol. 25(3), pages 641-661, May.
    14. 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.
    15. Hartini Jaafar & Hazianti Abdul Halim & Sharul Effendy Janudin, 2017. "Corporate Accounting Narratives and SelfPresentational Dissimulation Technique: An Analysis of Fraudulent Financial Reporting Firms," International Journal of Academic Research in Business and Social Sciences, Human Resource Management Academic Research Society, International Journal of Academic Research in Business and Social Sciences, vol. 7(10), pages 82-92, October.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:spr:grdene:v:13:y:2004:i:1:d:10.1023_b:grup.0000011944.62889.6f. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no bibliographic references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.