{"title":"False Confessions: A Study Space Analysis.","authors":"Laura Farrugia","doi":"10.1002/bsl.70008","DOIUrl":"https://doi.org/10.1002/bsl.70008","url":null,"abstract":"<p><p>Confessions are one of the most powerful types of evidence in the criminal justice system. Despite the vast amounts of psychological research conducted, false confessions still remain a pervasive problem around the world. Thus, an examination of the existing work conducted to date is needed to identify any gaps in knowledge or areas of further enquiry. A study space analysis was conducted to explore the adequacy and concentration of studies on false confessions. Using a combination of a number of key terms such as 'false confessions', 'interrogation', and 'vulnerable adults', a search of five databases was conducted. Overall, 230 studies were included in the final analysis. A total of 25 independent variables and 15 dependent variables were identified. However, the study space analysis revealed gaps concerning gender, vulnerability, and training and instructions regarding confessions. A lack of work exploring false confessions across crime types and severity was also discovered.</p>","PeriodicalId":47926,"journal":{"name":"Behavioral Sciences & the Law","volume":" ","pages":""},"PeriodicalIF":1.0,"publicationDate":"2025-07-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144660717","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"社会学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Public Estimations and Attitudes Towards the Insanity Plea in the United States: A Replication of Seminal Studies From the 1980's.","authors":"Charis Blake, Christopher A Modica","doi":"10.1002/bsl.70009","DOIUrl":"https://doi.org/10.1002/bsl.70009","url":null,"abstract":"<p><p>A series of pioneering studies from the late 1970s and early 1980s evidenced that the general public held grossly inaccurate estimations of the frequency and success of the insanity plea, as well as significantly negative attitudes towards the plea. Since the 1980s replications of these findings are nonexistent and, perhaps consequently, contemporary scholars continue to rely on the findings of these studies when discussing the general population's understanding of the insanity defence. We replicated several major research findings from this body of literature by conducting a cross-sectional, online-administered, self-report study of 257 adults aged 18-65 within the general US population by administering the same questions as found in previous studies, and additional questions. Results support each of our hypotheses; compared to the two past representative studies, participants in this study believed that the insanity plea was used less frequently, was less successful when employed, was not as abused or overused, and was more acceptable as a defence. Throughout the paper we conjecture why attitudes and estimations may have shifted over the past 40 years. We also explicate how our results can be useful to lawyers or psychologists; primarily by elucidating attitudes and knowledge of the plea among prospective jurors.</p>","PeriodicalId":47926,"journal":{"name":"Behavioral Sciences & the Law","volume":" ","pages":""},"PeriodicalIF":1.0,"publicationDate":"2025-07-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144601902","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"社会学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Advancing Detection Strategies for Feigned Mental Disorders Across the Decades.","authors":"Richard Rogers, Samantha R Strickland","doi":"10.1002/bsl.70007","DOIUrl":"https://doi.org/10.1002/bsl.70007","url":null,"abstract":"<p><p>A seminal BSL article in 1984 provided a conceptual framework for systematically applying detection strategies to feigned mental disorders. Over the decades, gradual advances have emerged for delineating and operationalizing these strategies. The first major section follows the developments in feigning strategies for the MMPI family and the SIRS/SIRS-2 as leading measures for multiscale inventories and structured interviews, respectively. The second major section critically reviews two unlikely detection strategies (i.e., rare symptoms and symptom combinations) and two amplified detection strategies (i.e., symptom severity and symptom selectivity). The article concludes with recommendations for future research on potential strategies.</p>","PeriodicalId":47926,"journal":{"name":"Behavioral Sciences & the Law","volume":" ","pages":""},"PeriodicalIF":1.0,"publicationDate":"2025-07-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144561527","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"社会学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Camilla Frangi, Alexa Schincariol, Pietro Pietrini, Giuseppe Sartori, Stefano Ferracuti, Cristina Scarpazza
{"title":"Under-Interpretation of Neuroimaging Data in Insanity Assessment: A Hidden Risk.","authors":"Camilla Frangi, Alexa Schincariol, Pietro Pietrini, Giuseppe Sartori, Stefano Ferracuti, Cristina Scarpazza","doi":"10.1002/bsl.70006","DOIUrl":"https://doi.org/10.1002/bsl.70006","url":null,"abstract":"<p><p>Neuroimaging data can provide valuable insights into insanity evaluations, but the debate over its use for legal purposes is far from resolved. While much attention has been given to the risks of over-interpretation, potential errors stemming from under-interpretation received less scrutiny. In this paper, we aim to showcase how this error may influence the results of an insanity evaluation by presenting an Italian forensic case. The defendant presented with intellectual disability and psychotic symptoms coupled with multiple brain abnormalities that were interpreted as variant of normal neuroanatomy. The case is discussed in detail. This article offers an insight into a neglected issue in forensic neuroscience, destined to gain prominence as this discipline becomes increasingly important in criminal justice systems worldwide. We recommend the use of a multidisciplinary approach to insanity to reduce the likelihood of error. In this context, neuroimaging can play an important role, and its interpretation should strictly adhere to guidelines to minimize the possibility of both over-interpretation and under-interpretation.</p>","PeriodicalId":47926,"journal":{"name":"Behavioral Sciences & the Law","volume":" ","pages":""},"PeriodicalIF":1.0,"publicationDate":"2025-07-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144545497","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"社会学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Transgender Individuals and the Law: Part I Introductory Essay.","authors":"Margarita Abi Zeid Daou, Alan R Felthous","doi":"10.1002/bsl.70005","DOIUrl":"https://doi.org/10.1002/bsl.70005","url":null,"abstract":"","PeriodicalId":47926,"journal":{"name":"Behavioral Sciences & the Law","volume":" ","pages":""},"PeriodicalIF":1.0,"publicationDate":"2025-06-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144259125","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"社会学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Manual and Machine Learning Approaches for Classifying Real and Forged Signatures-A Comparative Study and Forensic Implications.","authors":"Rakesh Meena, Damini Siwan, Peehul Krishan, Ankita Guleria, Abhik Ghosh, Kewal Krishan","doi":"10.1002/bsl.70000","DOIUrl":"https://doi.org/10.1002/bsl.70000","url":null,"abstract":"<p><p>A handwritten signature is one of the forms of a biometric measure that creates an individual identity of the persons to mark their approval related to any document. The manual examination for determination of the authenticity of the handwritten signatures is a common practice amongst forensic document examiners. This process involves a detailed and thorough analysis of handwriting characteristics of an individual ensuring a comprehensive assessment of the each and every important feature. However, the use of artificial intelligence tools can reduce this manual work of experts for identifying forgery in signatures. The main objective of the present study was to classify the handwritten signatures as forged and genuine, manually as well as using tools of artificial intelligence, especially machine learning (ML) methods. A total of 1400 signatures, consisting of 700 forged and 700 real signatures were obtained. The signatures were obtained from 71 participants; one writer executed 700 signatures (real/genuine signatures) and 70 participants were asked to forge 10 signatures each by observing one genuine signature selected from a pool of 700 real signatures. The study employed two methods to examine the signatures: manual examination and by using machine learning-based models. In the manual examination, thorough comparison between real and forged signatures revealed that all the forged signatures were imitated and falsified that is not created by the original creator. In contrast, the machine learning-based models that is support vector machine (SVM) and random forest classifier (RFC) were utilized for classifying the signatures as either forged or genuine. The RFC and SVM achieved accuracies of 92% and 89.64% respectively for classification of the signatures as real or forged. Accuracy of both the models of the machine learning approach revealed that the approach may be used to reduce the manual work of forensic handwriting experts and allow this examination to be performed more quickly. However, the admissibility of AI-based examination of signatures is still challenged due to the lack of universal standards and a regulatory framework.</p>","PeriodicalId":47926,"journal":{"name":"Behavioral Sciences & the Law","volume":" ","pages":""},"PeriodicalIF":1.0,"publicationDate":"2025-06-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144217301","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"社会学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Transparency, Punishment, and Judicial Behavior: Analyzing Criminal Sentencing Under China's Mass Publication Reform.","authors":"Yali Peng","doi":"10.1002/bsl.70003","DOIUrl":"https://doi.org/10.1002/bsl.70003","url":null,"abstract":"<p><p>Crime and punishment remain central concerns in China's justice system, yet little is known about how transparency reforms shape judicial decision-making at the local court level. This study examines public scrutiny effects in criminal sentencing in one basic-level court through the lens of focal concerns theory. Drawing on a novel complete dataset of judgments rendered from 2012-2017 and interviews with eight judges from diverse courts, the analysis reveals that transparency requirements trigger multiple adaptive responses in how judges assess focal concerns. Post-reform judgments are generally longer, particularly in cases involving serious crimes, suggesting more thorough articulation of assessments. Results show a reduction in sentence length after controlling for case characteristics, suggesting transparency moderates how judges balance punitive concerns against proportionality and defensibility. While initial implementation of the reform improved sentencing consistency, standardization effects diminished over time, revealing the institutional challenges of sustaining transparency-driven changes. The qualitative findings highlight variations in reform responses, with judges in first-tier cities and those with stronger professional backgrounds reporting less dramatic changes than colleagues from other backgrounds. These findings advance understanding of how visibility mechanisms influence judicial decision-making and offer insights for policy reforms aimed at channeling discretion through transparency measures.</p>","PeriodicalId":47926,"journal":{"name":"Behavioral Sciences & the Law","volume":" ","pages":""},"PeriodicalIF":1.0,"publicationDate":"2025-06-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144217302","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"社会学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Perceived Security, Confidence in the Police and Subjective Well-Being in Hong Kong: Evidence from the World Values Survey.","authors":"Melody W S Ip, Heng Choon Oliver Chan","doi":"10.1002/bsl.70001","DOIUrl":"https://doi.org/10.1002/bsl.70001","url":null,"abstract":"<p><p>The legitimacy of the Hong Kong police has somewhat plummeted amid the Umbrella Movement in 2014 and the Pro-Democracy Movement in 2019. This study aims to explore the dynamics among Hong Kongers' perception of security, confidence in the police, and their subjective well-being using the Wave 7 (2017-2022) of the World Values Survey (WVS-7). Analysing the Hong Kong data that sampled 2075 participants (18 years and above; 952 males and 1123 females, Mage = 47.2 years), feelings of security and neighbourhood deviant behaviours (i.e., perceived security), and life satisfaction and happiness (i.e., subjective well-being) are used to explore their effects on the participants' confidence in the police. The findings indicate that the participants' feelings of security are positively correlated with their well-being and confidence in the police, respectively. Despite its nonsignificant moderation effect, this study found a significant mediation effect of the participants' confidence in the police in the relationship between their perception of security and well-being. Significant sociodemographic differences (i.e., gender, age, social class) in the participants' life satisfaction and happiness are also observed. These findings have important practical implications in areas such as public education and policy development/refinement, with the aim to foster Hong Kongers' confidence in the police and well-being.</p>","PeriodicalId":47926,"journal":{"name":"Behavioral Sciences & the Law","volume":" ","pages":""},"PeriodicalIF":1.0,"publicationDate":"2025-05-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144175294","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"社会学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Christopher S Peters, Abby J McGinnis, Sungjin Im, Hannah L Hennessey
{"title":"Satire Versus Illicit: Policy Issues Regarding the Creation of Deepfakes Using AI Technology.","authors":"Christopher S Peters, Abby J McGinnis, Sungjin Im, Hannah L Hennessey","doi":"10.1002/bsl.2726","DOIUrl":"https://doi.org/10.1002/bsl.2726","url":null,"abstract":"<p><p>The emergence of deepfake technology, which uses artificial intelligence to create hyper-realistic videos or images by superimposing one person's face onto another's body, presents significant legal, ethical, and societal challenges. This study explores public perceptions of deepfakes, focusing on their legality and ethical implications. Participants evaluated various scenarios that differed in purpose (illicit or satirical) and the target's public profile (e.g., celebrity, politician, private citizen). Results revealed a generally negative view of deepfakes, with illicit deepfakes being less acceptable than satirical ones and those involving private citizens deemed the least permissible. Penalties for creators of illicit deepfakes were harsher, particularly when perceived harm and intent to harm were significant factors. The results highlight the importance of developing legal frameworks on deepfake creation, as well as possible practical implications within the realm of forensic psychology.</p>","PeriodicalId":47926,"journal":{"name":"Behavioral Sciences & the Law","volume":" ","pages":""},"PeriodicalIF":1.0,"publicationDate":"2025-05-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144144064","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"社会学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}