Detecting ulterior motives from verbal cues in group deliberations
Affiliation
Center for the Management of Information, The University of ArizonaIssue Date
2023-05-23Keywords
deception detectiondeceptive messages
interviewing
Linguistic Inquiry and Word Count (LIWC) features
structured programming for linguistic cue extraction (SPLICE)
verbal deception
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Frontiers Media S.A.Citation
Dunbar NE, Burgoon JK, Chen X, Wang X, Ge S, Huang Q and Nunamaker J (2023) Detecting ulterior motives from verbal cues in group deliberations. Front. Psychol. 14:1166225. doi: 10.3389/fpsyg.2023.1166225Journal
Frontiers in PsychologyRights
© 2023 Dunbar, Burgoon, Chen, Wang, Ge, Huang and Nunamaker. This is an open-access article distributed under the terms of the Creative Commons Attribution License.Collection Information
This item from the UA Faculty Publications collection is made available by the University of Arizona with support from the University of Arizona Libraries. If you have questions, please contact us at repository@u.library.arizona.edu.Abstract
Introduction: Forensic interviewing entails practitioners interviewing suspects to secure valid information and elicit confessions. Such interviews are often conducted in police stations but may also occur in field settings such as border crossings, security checkpoints, bus terminals, and sports venues. Because these real-world interviews often lack experimental control and ground truth, this investigation explored whether results of non-forensic interviews generalize to forensic ones. Methods: Organizational espionage was simulated to determine (1) what verbal signals distinguish truth from deception, (2) whether deception in groups aligns with deception in dyads, and (3) whether non-forensic venues can be generalized to forensic ones. Engaging in a mock hiring deliberation, participants (4–5 strangers) reviewed and discussed resumes of potential candidates. Surreptitiously, two group members assigned the role of “organizational spies” attempted to persuade the group to hire an inferior candidate. Each group member presented notes from an interview of “their” candidate, followed by a discussion of all candidates. Spies were to use any means possible, including deception, to persuade others to select their candidate. A financial incentive was offered for having one’s candidate chosen. The interview reports and discussions were transcribed and analyzed with SPLICE, an automated text analysis program. Results: Deceivers were perceived as less trustworthy than truth-tellers, especially when the naïve players won but overall, deceivers were difficult for non-spies to detect even though they were seen as less trustworthy than the naïve participants. Deceivers’ language was more complex and exhibited an “echoing” strategy of repeating others’ opinions. This collusion evolved naturally, without pre-planning. No other verbal differences were evident, which suggests that the difference between spies and non-spies was subtle and difficult for truth-tellers to spot. Discussion: Whether deception can be successfully detected hinges on a variety of factors including the deceiver’s skill to disguise and the detector’s ability to sense and process information. Furthermore, the group dynamics and communication context subtly moderate how deception manifests and influence the accuracy of detecting ulterior motives. Our future investigations could encompass non-verbal communication channels and verbal patterns rooted in content, thereby providing a more comprehensive understanding of deception detection. Copyright © 2023 Dunbar, Burgoon, Chen, Wang, Ge, Huang and Nunamaker.Note
Open access journalISSN
1664-1078Version
Final Published Versionae974a485f413a2113503eed53cd6c53
10.3389/fpsyg.2023.1166225
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Except where otherwise noted, this item's license is described as © 2023 Dunbar, Burgoon, Chen, Wang, Ge, Huang and Nunamaker. This is an open-access article distributed under the terms of the Creative Commons Attribution License.