Search Results (25)

Background/Objectives: Substance use disorders and eating disorders frequently co-occur and are both associated with increased aggression. As a result, individuals with these conditions are overrepresented in prison populations. The present study investigated whether symptoms of eating disorders in male forensic psychiatric inpatients with substance use disorders are associated with heightened aggression. To this end, various forms of aggressive behavior—including spontaneous and reactive aggression, excitability, and violent offenses—were analyzed. Methods: Fifty-six male patients from two forensic psychiatric hospitals in Germany participated in the study. Symptoms of eating disorders were evaluated with the German version of the Eating Disorder Examination Questionnaire (EDE-Q), and aggression was measured with the Short Questionnaire for the Assessment of Aggression Factors (K-FAF) and by considering the violent index offense. Data were analyzed by generalized linear models, with age and body mass index (BMI) included as covariates. Results: Higher EDE-Q scores significantly predicted increased spontaneous aggression and excitability. However, no significant association was found between eating disorder symptoms and reactive aggression or the likelihood of a violent index offense. Age and BMI did not significantly influence any aggression subscales. Conclusions: The findings suggest that in patients with substance use disorder, eating disorder symptoms may be linked to heightened internalized forms of aggression. These results support the clinical relevance of screening for eating disorder symptoms in forensic psychiatric settings and integrating dietary interventions into therapeutic efforts to manage aggression. Full article

American citizens are significantly more likely to experience property crime victimization than violent crime victimization. During a staffing crisis, police prioritize limited resources in combating serious crime; however, property crimes remain impactful to the community. Therefore, agencies need to consider innovative ways to control property crime, such as “super-cocooning” strategies that alert residents to recent offenses. These strategies intend to empower the community to implement guardianship and crime prevention measures. For these strategies to be effective, they require public buy-in and support. The present study implements a preregistered information provision survey experiment (N = 2412), similar to the strategy of super-cocooning, to assess whether the public is more likely to support such strategies to combat property crime. Although the sample held overall high support of this strategy, exposure to a super-cocooning door hanger prime produced no significant changes in perceived effectiveness. However, there was observed racial heterogeneity in the treatments: non-White respondents assigned to the treatment relative to White respondents experienced significantly increased support of super-cocooning strategies. Implications for light-footprint crime control strategies, particularly during a staffing crisis, are discussed. Full article

More than three decades ago, the Supreme Court of the United States (SCOTUS) ruled that individuals who are not competent (alternatively referred to by the Court as insane) at the time of their scheduled execution cannot be put to death. Despite the years that have passed since the Court’s decision and the literal life-or-death stakes involved, competency for execution (CFE) remains underexplored in the psychological, psychiatric, and legal literature. A number of important legal and ethical issues that arise when a person on death row maintains they are not competent to be executed are still unresolved even after the landmark Supreme Court cases such as Ford v. Wainwright (1986), Panetti v. Quarterman (2007), and Madison v. Alabama (2019). In this first-of-its-kind descriptive study, we analyzed the demographic and case characteristics of the 28 successful Ford claimants—individuals in the United States who have been found to be incompetent to be executed and compared them to the general death row population and homicide cases nationwide. Our findings reveal some similarities but also some differences between these claimants and the general death row population and homicide cases: the successful Ford claimants are exclusively male (in keeping with the general prison population on death row), relatively older, and underrepresented among White and Latinx inmates (i.e., Black claimants are more successful than their White and Latinx counterparts at evading execution). Nearly all (96%) suffer from schizophrenia, with 79% experiencing psychiatric comorbidity, yet only 54% received any significant treatment before or after the criminal offense. The claimants’ cases also involve a higher proportion of child victims, male family members, and female non-family member victims, as well as more multiple-victim cases (not indiscriminate) and fewer intraracial homicides. Fewer victims are male, and more are female. However, the cases do not align with typical male-on-male violent crimes or femicide patterns, such as those involving sexual or domestic violence. Additionally, systematic psycho-legal deficiencies are prevalent, including a low rate of mental health evidence (61%) presented at trials and some cases lacking psychiatric involvement in CFE evaluations. Temporal influence and drastic state variations on CFE evaluation are also noted. Although the small sample size limits generalizability, this small-scale descriptive study offers a number of important insights into the complexities of CFE decisions and lays the groundwork for future research and policy development. Full article

Background: Seriously injured persons with pre-existing psychiatric conditions or those injured due to violent crimes represent a particularly vulnerable treatment group. Methods: All patients with injuries from suicidal attempts (PSAs) or patients with injuries from violent offenses (PVOs) that presented to the university emergency room of a Level 1 trauma center in Germany between 1 January 2017 and 31 November 2022 were retrospectively investigated. Results: It can be seen that PVOs were significantly younger compared to PSAs (p = 0.03). Total hospital stay was significantly longer for PSAs compared to PVOs (p < 0.001). PSAs were also significantly more severely injured than PVOs (p < 0.001). Our study was able to show a significant difference between both patient groups in the region of injury (p < 0.001). PSAs had a significantly more extensive psychiatric history than PVOs (p < 0.001). Conclusion: Injuries from suicide attempts and violent offenses are a serious and growing public health problem, but one that can be addressed through timely, evidence-based, and often cost-effective interventions. It requires early interaction among multiple disciplines and a standardized approach. Full article

Social media serves as a platform for netizens to stay informed and express their opinions through the Internet. Currently, the social media discourse environment faces a significant security threat—offensive comments. A group of users posts comments that are provocative, discriminatory, and objectionable, intending to disrupt online discussions, provoke others, and incite intergroup conflict. These comments undermine citizens’ legitimate rights, disrupt social order, and may even lead to real-world violent incidents. However, current automatic detection of offensive language primarily focuses on a few high-resource languages, leaving low-resource languages, such as Malay, with insufficient annotated corpora for effective detection. To address this, we propose a zero-shot, cross-language unsupervised offensive language detection (OLD) method using a dual-branch mBERT transfer approach. Firstly, using the multi-language BERT (mBERT) model as the foundational language model, the first network branch automatically extracts features from both source and target domain data. Subsequently, Sinkhorn distance is employed to measure the discrepancy between the source and target language feature representations. By estimating the Sinkhorn distance between the labeled source language (e.g., English) and the unlabeled target language (e.g., Malay) feature representations, the method minimizes the Sinkhorn distance adversarially to provide more stable gradients, thereby extracting effective domain-shared features. Finally, offensive pivot words from the source and target language training sets are identified. These pivot words are then removed from the training data in a second network branch, which employs the same architecture. This process constructs an auxiliary OLD task. By concealing offensive pivot words in the training data, the model reduces overfitting and enhances robustness to the target language. In the end-to-end framework training, the combination of cross-lingual shared features and independent features culminates in unsupervised detection of offensive speech in the target language. The experimental results demonstrate that employing cross-language model transfer learning can achieve unsupervised detection of offensive content in low-resource languages. The number of labeled samples in the source language is positively correlated with transfer performance, and a greater similarity between the source and target languages leads to better transfer effects. The proposed method achieves the best performance in OLD on the Malay dataset, achieving an F1 score of 80.7%. It accurately identifies features of offensive speech, such as sarcasm, mockery, and implicit expressions, and showcases strong generalization and excellent stability across different target languages. Full article

The importance of assessing psychopathic traits in juveniles who have committed sexual offenses has been established in individuals who demonstrate a particularly severe and violent pattern of behavior. Additionally, the assessment of these traits in other juveniles might be relevant considering that higher levels of these traits represent an increased probability of the juvenile committing offenses. This study is a systematic review of the literature about the presence of callous-unemotional (CU) traits in juveniles who have committed sexual and non-sexual offenses, in order to ascertain eventual differences between these groups regarding the presence of CU traits. Studies were obtained from multiple databases, with predefined exclusion and inclusion criteria, according to PRISMA-P guidelines. A total of 18 studies were reviewed and included in the final analysis. The 18 studies used measures of CU traits and reported descriptive categories of CU traits in juveniles who have committed general offenses or juveniles who have committed sexual offenses. Meta-analytic procedures such as pooled means, pooled variances, and pooled standard deviations are presented in this study. The main conclusion obtained is that juveniles who have committed general offenses present higher levels of CU traits compared to juveniles who have committed sexual offenses. Although the review highlights limitations in the literature, the identification of these characteristics in different types of juveniles who have committed offenses is important to shed light on the phenomenon and develop interventions better suited to their characteristics. Recommendations for future research are also presented. Full article

Child-to-parent violence occurs when children engage in violent behaviour towards family members; the principal victim is often the mother. The risk assessment instruments used to identify the risk and protective factors in youth offenders who perpetrate child-to-parent violence are not specific to this type of offense. This study aims to describe the child-to-parent violence group in relation to the risk and protective factors they present in comparison with the group of young people who committed an assault offence. The sample for this study consists of two groups of youth offenders. The first group committed child-to-parent violence, and the second group has committed a violent crime against individuals to whom they are not related. Young people who commit child-to-parent violence have higher scores on the SAVRY risk factors and lower scores on the SAVRY protective factor than young people who have committed an assault offence. The results reveal the importance of identifying the risk and protective factors presented by youth offenders who commit child-to-parent violence in order to create specific intervention programs for the needs and strengths presented by this group of young people. Full article

Background: Radicalization, violent extremism, and terrorism are risks to societal security. Although research on terrorism-related behaviors is increasing, thorough empirical studies are rare. Methods: This study investigates radicalization processes and transitions in a matched sample of female and male terrorist suspects and convicts (N = 26) residing in Dutch penitentiary terrorism wings. Results: Results show that both men and women often experienced discrimination. A subgroup of women grew up in a stressful family environment and lacked emotional support from their family, whereas the other women did not experience such circumstances. The majority of the study sample was susceptible to connecting with radicalized friends or family members. Interestingly, factors that initially led to radicalization (e.g., a utopian image of the Islamic State) could later turn out to be factors associated with abandoning extremism. Conclusions: In this study, differences in radicalization processes and transitional phases between women and men emerged. Men more often had police contact prior to a terrorism-related offense. Making an effort to right old mistakes seemed important in the radicalization processes of men, whereas women had a stronger desire for emotional support and were more driven by experienced trauma and feelings of loneliness. This study provides input for gender-specific prevention and disengagement interventions. Full article

Exponential growth in social media has led to the increasing popularity of hate speech and hate-based propaganda. Hate speech or malicious expression refers to the use of offensive, violent, or offensive language and its religious conduct with a specific group of people who share a common property, such as gender, ethnicity, race, or beliefs. Online hate diffusion has now become a serious problem as it creates a series of international initiatives aimed at defining problems and developing effective countermeasures; this study delves into the exploration of the intention of hate speech posting on social media, especially on Twitter. Both dramaturgical models of social interaction and cultivation theory were used to explain the hate speech culture phenomenon. A qualitative method is proposed for this study as part of the exploration. Results revealed that most of the previous studies on hate speech focused on the field of computer science but rarely on the communication field. The paper presents the results of past studies and shows the new proposed framework. The investigation suggests future directions for the problem and possible solutions; it starts with the background of the research, the explanation of the problem, the meaning of the research, and pursuing the research questions and goals of the research before finally explaining the limits. Full article

With the vast number of comments posted daily on social media and other platforms, manually monitoring internet activity for possible national security risks or cyberbullying is an impossible task. However, with recent advances in machine learning (ML), the automatic monitoring of such posts for possible national security risks and cyberbullying becomes feasible. There is still the issue of privacy on the internet; however, in this study, only the technical aspects of designing an automated system that could monitor and detect hate speech in the Arabic language were targeted, which many companies, such as Facebook, Twitter, and others, could use to prevent hate speech and cyberbullying. For this task, a unique dataset consisting of 4203 comments classified into seven categories, including content against religion, racist content, content against gender equality, violent content, offensive content, insulting/bullying content, normal positive comments, and normal negative comments, was designed. The dataset was extensively preprocessed and labeled, and its features were extracted. In addition, the use of deep recurrent neural networks (RNNs) was proposed for the classification and detection of hate speech. The proposed RNN architecture, called DRNN-2, consisted of 10 layers with 32 batch sizes and 50 iterations for the classification task. Another model consisting of five hidden layers, called DRNN-1, was used only for binary classification. Using the proposed models, a recognition rate of 99.73% was achieved for binary classification, 95.38% for the three classes of Arabic comments, and 84.14% for the seven classes of Arabic comments. This accuracy was high for the classification of a complex language, such as Arabic, into seven different classes. The achieved accuracy was higher than that of similar methods reported in the recent literature, whether for binary classification, three-class classification, or seven-class classification, as discussed in the literature review section. Full article

The rapid development of software applications and the increasing use of the Internet have raised many questions about the impact of this technology on the lives of adolescents, especially on “digital natives.” The advent of social networks (SNs) restructures their relationships in various ways, affecting both adolescents’ development and mental health. The present study aims to investigate uses and dangers of SNs according to a sample of 296 (166 female and 130 male) Italian middle and high schools adolescents (age range 13–18) and build a model of how SNs can turn out to be dangerous. To achieve this, twenty-four audio-recorded focus groups of Italian male and female adolescents were investigated by a Grounded Theory approach, abstracting from the transcripts the main uses and dangers of SNs and proposing a final model for the interpretation of the whole set of categories. The results highlighted two main dangers of SNs: (a) the desperate search for popularity, and (b) the exhibition of violent or offensive behavior facilitated by the sense of protection and anonymity derived from being hidden behind a virtual account. Finally, a psychological model of how SNs can turn out to be dangerous is presented. This study could be useful in developing prevention procedures against the risks of SNs (e.g., cyberbullying, internet addiction) without demonizing the use of social media as such. Full article

During the late 20th century, imprisonment rates in the United States saw unprecedented growth, leading correctional systems across the country to face widespread overcrowding and underfunding. Subsequently, policy makers sought out alternatives to incarceration for certain categories of offenses. Community supervision, such as probation, emerged as a popular solution to both reduce prison and jail populations as well as to generate revenue to fund the rapidly expanding legal system. With the rise in community supervision came increases in the number of people on probation for lower-level and non-violent offenses. The expansion of legal financial obligations (LFO) placed additional burdens on these persons, who disproportionately sit in lower socio-economic status brackets. Using data from the 1995 Survey of Adults on Probation (SAP), the current study adds to the literature on probation and LFOs in an important way. The SAP data contain information on the amount, frequency, and type of LFO. Thus, this paper examines the distinct types of LFOs to determine the differential burden that each type of LFO has on people on probation. This paper finds that of all types of fees, those associated with victim restitution are most likely to lead to missed payments, while those that generate revenues do not contribute significantly to missed payments. This paper discusses the implications of this for procedural justice and fairness. Full article

Juvenile perpetrators account for over 25% of all sexual offenses, and over one-third of such offenses are against victims under the age of 18. Given empirical connections between adverse childhood experience (ACE) exposure and perpetration of violence, we create victim typologies based on the juveniles’ relationship to their victims among 5539 justice-involved adolescents who have committed violent against-person sexual felonies. Multinomial logistic regression is used to assess which covariates, including individual ACE exposures and cumulative traumatic exposures, are associated with victim typologies. This approach allows for better targeting of violence prevention efforts, as a more nuanced understanding of the increased likelihood to victimize specific victim groups lends to potential differences in treatment provision, beyond simplistic findings regarding ACE exposure increasing offending. Results indicate five classes of victim types, ranging from a low of 6.4%, with primarily strangers as victims, to 31.3%, with predominately acquaintances as victims, and only 12.9% with a diverse array of relationships to victims. Importantly, many demographic and individual risk factors, and specific traumatic exposures were related to victimizing one’s sibling, while cumulative trauma as measured by an ACE score decreased the likelihood of victimizing classmates, while increasing the likelihood of victimizing siblings and other relatives compared to victimizing acquaintances. Full article

The purpose of photography in violent death autopsies is to document the material evidence of the offense and guide decisions in the courts of law. The aim of the present study was to obtain the expectations of legal operators and forensic experts regarding what is expected as adequate photographic documentation in violent death forensics. For this purpose, a survey was prepared through an online form available on the “Google Forms” platform, whose link was sent by e-mail and by the WhatsApp Messenger^® application. The 102 participants were divided into two distinct groups: legal practitioners, interested in the materialization of evidence (judges, prosecutors, criminal lawyers and police chiefs), and forensic experts, responsible for materializing the evidence (medical examiners, forensic dentists and criminal experts). The research showed that the inclusion of color photographs in the expert reports is essential for all research participants, as well as the marking of evidence in the images and the inclusion of explanatory text in the captions. It was also pointed out as fundamental for most participants to insert an image with simulation of the firearm bullets’ path, when applicable. In relation to the other aspects, it can be observed that the opinions of the participants were divergent between the groups of research professionals, especially regarding the size of the image to be incorporated in the reports. The differences found between the groups can be detrimental to the proper interpretation and judgment of evidence in the courts. Considering the found barriers, the authors suggest a form of photographic documentation that meets all expectations in a consensual way. Full article

Aggression and violent offenses are common amongst forensic psychiatric patients. Notably, research distinguishes two motivationally distinct dimension of aggression–instrumental and reactive aggression. Instrumental aggression comprises of appetitive, goal-directed aggressive acts, whereas reactive aggression consists of affective, defensive violence with both their biological basis remaining largely unknown. Childhood trauma and functional genetic polymorphisms in catecholamines converting enzymes, such as mono-amino-oxidase A (MAO-A) and catechol-o-methyltransferase (COMT) have been suggested to augment an aggressive behavioral response in adulthood. However, it warrants clarification if these factors influence one or both types of aggression. Furthermore, it remains elusive, if having a combination of unfavorable enzyme genotypes and childhood maltreatment further increases violent behavior. Hence, we set out to address these questions in the current study. First, analysis revealed an overall marginally increased frequency of the unfavorable MAO-A genotype in the test population. Second, each gene polymorphisms together with a traumatic childhood significantly increased the AFAS (Appetitive and Facilitative Aggression Scale) scores for both reactive and appetitive aggression. Third, having a combination of both disadvantageous genotypes and a negative childhood served as a minor positive predictor for increased reactive aggression, but had a strong influence on the joy of being aggressive. Full article