Pathways to truth: using criteria-based content analysis in missing person cases

IF 2.1 Q1 CRIMINOLOGY & PENOLOGY Journal of Criminal Psychology Pub Date : 2023-03-07 DOI:10.1108/jcp-11-2022-0032
Yasmin Richards, D. Keatley
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引用次数: 3

Abstract

Purpose When investigating missing persons cases, witness and suspect statements are often the only available evidence to investigators. As such, forensic linguistics can be useful to police when seeking information from individuals during investigative interviews. The presumption of innocence must be maintained in an investigation, and therefore this study aims to use a method focused on veracity detection, rather than the majority of studies using deception detection approaches. Design/methodology/approach The current research uses criteria-based content analysis (CBCA), a method that has been applied to a variety of criminal cases. Real-world statements of individuals convicted or found innocent of their involvement in missing persons cases were used in the analyses. Additionally, behaviour sequence analysis (BSA) was used to map language patterns within individuals’ statements. Findings Results indicated that two individual markers occurred at a high frequency across all four groups (the guilty and innocent statements of both case types); however, differences were noted in the sequences based on an individual’s ability to provide experiential details. Research limitations/implications The current research contributes to the growing literature that aims to test CBCA in adult samples across crimes that do not pertain to sexual abuse, in addition to aiding researchers and practitioners to understand better the linguistic differences that occur in missing persons cases. Originality/value To the best of the authors’ knowledge, this type of research, using CBCA to assist with missing person's cases with a temporal method (BSA), has never before been tested. BSA has previously been used in forensic linguistics, and shown support for the method. The current research builds on this in terms of missing persons cases.
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通往真相之路:在失踪人口案件中使用基于标准的内容分析
目的在调查失踪人口案件时,证人和嫌疑人的陈述往往是调查人员唯一可用的证据。因此,当警方在调查采访中从个人那里寻求信息时,法律语言学对他们很有用。在调查中必须保持无罪推定,因此本研究旨在使用一种专注于真实性检测的方法,而不是大多数使用欺骗检测方法的研究。设计/方法/方法目前的研究使用基于标准的内容分析(CBCA),这种方法已应用于各种刑事案件。在分析中使用了被定罪或被判无罪的人参与失踪人员案件的真实陈述。此外,使用行为序列分析(BSA)来映射个人陈述中的语言模式。结果表明,两种个体标记在所有四组中出现的频率很高(两种情况类型的有罪和无罪陈述);然而,根据个人提供经验细节的能力,在序列上发现了差异。目前的研究有助于越来越多的文献旨在测试成人样本中与性虐待无关的犯罪的CBCA,除了帮助研究人员和从业者更好地理解失踪人口案件中发生的语言差异。原创性/价值据作者所知,这种利用CBCA以时间法(BSA)协助失踪人口案件的研究从未被测试过。BSA以前曾在法律语言学中使用,并对该方法表示支持。目前的研究是建立在失踪人口案件的基础上的。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Journal of Criminal Psychology
Journal of Criminal Psychology CRIMINOLOGY & PENOLOGY-
CiteScore
2.30
自引率
0.00%
发文量
9
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