Computer-Mediated Deception: Strategies Revealed by Language-Action Cues in Spontaneous Communication
通过在线游戏实验收集自发欺骗场景数据，分析语言行为线索（如认知负荷、情感过程、延迟和冗长）来检测计算机中介欺骗，对信息安全领域有用。
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.