Dykstra Victoria W, Lyon Thomas D, Evans Angela D
Psychology Department, Brock University, St. Catharines, ON, Canada.
Gould School of Law, University of Southern California, Los Angeles, CA, United States.
Front Psychol. 2022 Dec 14;13:1025419. doi: 10.3389/fpsyg.2022.1025419. eCollection 2022.
Adults are typically poor judges of the veracity of statements, requiring the need for alternative methods for detecting lies. One alternative method to human lie-detectors is using computer-based linguistic analysis which may present a more reliable method for detecting dishonesty. Moreover, while previous research has examined linguistic differences between typically developing children's and adults' truthful and dishonest reports, no study to date has examined whether maltreated children exhibit different linguistic cues to dishonesty. Thus, the current study examined maltreated and nonmaltreated children's linguistic and syntactic cues to children's truthful and dishonest reports.
Nine- to 12-year-olds, half of whom were maltreated, played a computer game with a confederate: half of the children experienced a transgression (i.e., playing a forbidden game and crashing the computer) and were coached to conceal it, and half of the children experienced no transgression (i.e., simply played a computer game). All children were then interviewed about the event. The current study utilized automated linguistic and syntactic analysis software to compare children's truthful reports (no transgression occurred) with dishonest reports.
Results indicated that maltreated and non-maltreated children did not differ in their indicators of dishonesty. Dishonest reporters used more first-person plural pronouns and cognitive mechanism terms and had less syntactically complex reports compared to truthful reporters. Finally, first-personal plural pronouns, cognitive mechanism terms, and syntactic complexity accurately classified (74.2%) the veracity of children's reports. The current findings present a new indicator of dishonesty (syntactic complexity) and suggest that indicators from typically developing populations may apply to maltreated children when coaching occurred.
成年人通常不善于判断陈述的真实性,因此需要其他方法来检测谎言。与人工测谎相比,基于计算机的语言分析是一种替代方法,可能是检测不诚实行为的更可靠方法。此外,虽然之前的研究已经考察了正常发育的儿童和成年人在真实和不诚实报告中的语言差异,但迄今为止,尚无研究考察受虐待儿童在不诚实行为中是否表现出不同的语言线索。因此,本研究考察了受虐待和未受虐待儿童在真实和不诚实报告中的语言和句法线索。
9至12岁的儿童,其中一半曾遭受虐待,与一名同谋者玩电脑游戏:一半儿童经历了违规行为(即玩被禁止的游戏并导致电脑死机)并被指导隐瞒此事,另一半儿童没有经历违规行为(即只是玩了电脑游戏)。然后,所有儿童都接受了关于该事件的访谈。本研究利用自动语言和句法分析软件,将儿童的真实报告(未发生违规行为)与不诚实报告进行比较。
结果表明,受虐待和未受虐待儿童在不诚实指标上没有差异。与真实报告者相比,不诚实报告者使用了更多的第一人称复数代词和认知机制术语,并且句法复杂性较低的报告较少。最后,第一人称复数代词、认知机制术语和句法复杂性准确地分类了(74.2%)儿童报告的真实性。目前的研究结果提出了一种新的不诚实指标(句法复杂性),并表明在进行指导时,来自正常发育人群的指标可能适用于受虐待儿童。