Computer-Mediated Deception: Strategies Revealed by Language-Action Cues in Spontaneous Communication.
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| Title: | Computer-Mediated Deception: Strategies Revealed by Language-Action Cues in Spontaneous Communication. |
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| Authors: | Ho, Shuyuan Mary (AUTHOR) smho@fsu.edu, Hancock, Jeffrey T. (AUTHOR) hancockj@stanford.edu, Booth, Cheryl (AUTHOR) clb14h@my.fsu.edu, Liu, Xiuwen (AUTHOR) liux@cs.fsu.edu |
| Source: | Journal of Management Information Systems. 2016, Vol. 33 Issue 2, p393-420. 28p. 1 Color Photograph, 2 Diagrams, 5 Charts, 3 Graphs. |
| Subjects: | Telematics, Language-action paradigm, Internet users, Internet security, Personal information management |
| Abstract: | Computer-mediated deception threatens the security of online users’ private and personal information. Previous research confirms that humans are bad lie detectors, while demonstrating that certain observable linguistic features can provide crucial cues to detect deception. We designed and conducted an experiment that creates spontaneous deception scenarios in an interactive online game environment. Logistic regression, and certain classification methodologies were applied to analyzing data collected during fall 2014 through spring 2015. Our findings suggest that certain language-action cues (e.g., cognitive load, affective process, latency, and wordiness) reveal patterns of information behavior manifested by deceivers in spontaneous online communication. Moreover, computational approaches to analyzing these language-action cues can provide significant accuracy in detecting computer-mediated deception. [ABSTRACT FROM PUBLISHER] |
| Copyright of Journal of Management Information Systems is the property of Taylor & Francis Ltd and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.) | |
| Database: | Engineering Source |
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| Abstract: | Computer-mediated deception threatens the security of online users’ private and personal information. Previous research confirms that humans are bad lie detectors, while demonstrating that certain observable linguistic features can provide crucial cues to detect deception. We designed and conducted an experiment that creates spontaneous deception scenarios in an interactive online game environment. Logistic regression, and certain classification methodologies were applied to analyzing data collected during fall 2014 through spring 2015. Our findings suggest that certain language-action cues (e.g., cognitive load, affective process, latency, and wordiness) reveal patterns of information behavior manifested by deceivers in spontaneous online communication. Moreover, computational approaches to analyzing these language-action cues can provide significant accuracy in detecting computer-mediated deception. [ABSTRACT FROM PUBLISHER] |
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| ISSN: | 07421222 |
| DOI: | 10.1080/07421222.2016.1205924 |
