The DOI matches its Crossref record.
Detecting Deception through Linguistic Analysis
Overview
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
Deceptive textual communications are shorter due to the challenges of drawing multiple responses from memory as plausible answers to questions.
“Deceptive textual communications are shorter due to the challenges of drawing multiple responses from memory as plausible answers to questions (e.g., Burgoon et al., 2003; Pollina et al., 2017; Schuetzler et al., 2019).”
From Sorting Insiders From Co-Workers: Remote Synchronous Computer-Mediated Triage for Investigating Insider Attacks (2024) · cites this paper as Burgoon et al., 2003
Citations
Cites
No references could be resolved yet.
Research works printed but not linked: 10
- Burgoon, J. K., Buller, D. B., Ebesu, A., Rockwell, P.: Interpersonal Deception: V: Accuracy in Deception Detection. Communication Monographs 61 (1994) 303–325 · DOI
- Levine, T., McCornack, S.: Linking Love and Lies: A Formal Test of the McCornack and Parks Model of Deception Detection. J. of Social and Personal Relationships 9 (1992) 143–154 · DOI
- Zuckerman, M., DePaulo, B., Rosenthal, R.: Verbal and Nonverbal Communication of Deception. In: Berkowitz, L. (ed.): Advances in Experimental Social Psychology, Vol. 14. Academic Press, New York (1981) 1–59
- Burgoon, J., Marett, K., Blair, J. P.: Detecting Deception in Computer-Mediated Communication. In: George, J. F. (ed.): Computers in Society: Privacy, Ethics & the Internet. Prentice-Hall, Upper Saddle River, NJ (in press)
- Vrij, A.: Detecting Lies and Deceit. John Wiley and Sons, New York (2000)
- Inbau, F. E., Reid, J. E., Buckley, J. P., Jayne, B. C.: Criminal Interrogations and Confessions. 4th edn. Aspen, Gaithersburg, MD (2001)
- Quinlan, J. R.: C4.5. Morgan Kaufmann Publishers, San Mateo, CA (1993)
- Spangler, W., May, J., Vargas, L.: Choosing Data-Mining Methods for Multiple Classification: Representational and Performance Measurement Implications for Decision Support. J. Management Information Systems 16 (1999) 37–62 · DOI
- Zhou, L. Twitchell, D., Qin, T., Burgoon, J. K., Nunamaker, J. F., Jr.: An Exploratory Study into Deception Detection in Text-based Computer-Mediated Communication. In: Proceedings of the 36th Annual Hawaii International Conference of System Sciences. Big Island, Los Alamitos, CA (2003) · DOI
- Buller, D. B., Burgoon, J. K.: Interpersonal Deception Theory. Communication Theory 6 (1996) 203–242 · DOI
Cited by
Sorted by citations
A survey on fake news and rumour detection techniques
Bondielli, A., & Marcelloni, F. (2019) · Information Sciences · doi:10.1016/j.ins.2019.05.035 · Cited by 658
The Web of False Information: Rumors, Fake News, Hoaxes, Clickbait, and Various Other Shenanigans
Zannettou, S., Sirivianos, M., Blackburn, J., & Kourtellis, N. (2019) · Journal of Data and Information Quality · doi:10.1145/3309699 · Cited by 86
Dando, C. J., Taylor, P. J., Menacere, T., Ormerod, T. C., Ball, L. J., & Sandham, A. L. (2024) · Human Factors: The Journal of the Human Factors and Ergonomics Society · doi:10.1177/00187208211068292 · Cited by 10
Metadata
- Authors
- Burgoon, J. K., Blair, J. P., Qin, T., & Nunamaker, J. F.
- Affiliations
- University of Arizona (US)
- Michigan State University (US)
- Venue
- Lecture Notes in Computer Science
- Publisher
- Springer Berlin Heidelberg
- Published
- 2003
- Pages
- 91-101
- ISSN
- 0302-9743 (ISSN-L)
- OpenAlex
- W1514681859
- Cited by
- 209
- References
- 0
- Citations by year
- 2026: 1 · 2025: 12 · 2024: 4 · 2023: 17 · 2022: 17 · 2021: 12 · 2020: 11 · 2019: 14 · 2018: 6 · 2017: 11 · 2016: 8 · 2015: 16 · 2014: 13 · 2013: 5 · 2012: 16
- FWCI
- 12.15
- Type
- conference paper
- Language
- en
- Open access
- closed
- Licence
- www.springer.com/tdm (tdm)
- Locations
- Lecture notes in computer science (publishedVersion)
- Topics
- Social Sciences › Psychology › Social Psychology › Deception detection and forensic psychology
- Social Sciences › Sociology and Political Science › Misinformation and Its Impacts
- Physical Sciences › Computer Science › Artificial Intelligence › Authorship Attribution and Profiling
- Keywords
- deception detection, linguistic features, text analysis, truthfulness assessment, deception cues
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review