Analysing Deception in Witness Memory through Linguistic Styles in Spontaneous Language

• Published in: Brain sciences 2023-02, Vol.13 (2), p.317
• Main Authors: Solà-Sales, Sara, Alzetta, Chiara, Moret-Tatay, Carmen, Dell'Orletta, Felice
• Format: Article
• Language: English
• Subjects: Analysis; Artificial intelligence; Brief Report; Cognition & reasoning; Cognitive ability; Cognitive load; Computational linguistics; Computers; Content analysis; Credibility; Deception; Emotions; Forensic science; Forensic sciences; Language; Language processing; linguistic cues; Linguistics; Lying; Memory; Motivation; Natural language interfaces; natural language processing; simulated deception; Speech; Statistical analysis; Testimony; Witnesses
• ISSN: 2076-3425; 2076-3425
• DOI: 10.3390/brainsci13020317

The act of lying and its detection have raised interest in many fields, from the legal system to our daily lives. Considering that testimonies are commonly based on linguistic parameters, natural language processing, a research field concerned with programming computers to process and analyse natural language texts or speech, is a topic of interest on this front. This study aimed to examine the linguistic styles of simulated deception and true testimonies collected with the aim of studying witness memory. Study participants were asked to act as a witness of a crime by retelling the story they had just read. Cognitive interviewing techniques were used to collect testimony under two conditions: truth and simulated deception. A sample of 48 participants volunteered to participate in the study. Analyses of the linguistic indicators and content were carried out. Specifically, we performed a comparison of testimonies of the same participant by condition to analyse the variation between (i) lexical and (ii) linguistic features and (iii) content and speech characteristics (disfluencies) depending on the narrative condition. Concerning lexical properties, adjectives were the most-varying grammatical category between truthful and deceptive testimonies. Furthermore, in the linguistic analysis, we observed that truthful testimonies were generally longer than deceptive ones in terms of the number of words and sentences and also characterised by more articulated sentence structures, and these differences were also statistically significant. Regarding the analysis of the content, cognitive criteria (details) and admitting lack of memory were more present in truthful statements. By providing an objective measure, these results are of interest in developing NLP tools for assessing the credibility of testimonies in forensics.