Behavioral Sciences & the Law最新文献

The current study was conducted to confirm the characteristics in sexual homicide and to explore variables that effectively differentiate sexual homicide and nonsexual homicide. Further, newer methods that have received attention in criminology, such as the machine learning method, were used to explore the ideal algorithm for classifying sexual homicide and patterns for sexual homicide in Korea. To do this, 542 homicide cases were analyzed utilizing eight algorithms, and the classification performance of each algorithm was analyzed along with the importance of variables. The results of the analysis revealed that the Naive Bayes, K-Nearest Neighbors, and RF algorithms demonstrate good classification accuracy, and generally, factors such as relationships, marriage, planning, personal weapons, and overkill were identified as crucial variables that distinguish sexual homicide in Korea. In addition, the crime scene information of the crime occurring in the dark (at night) and body disposal were found to have high importance. The current study proposes ways to enhance the efficacy of crime investigation and advance the research on sexual homicides in Korea through a more scientific understanding of sexual homicide that has not been thoroughly explored domestically.

Sexual homicide (SH) research has focused on those who commit these crimes and the crimes themselves. This leaves the victim, an equally crucial piece to the puzzle, left as a sort of afterthought, despite the valuable insight that victimology provides to the crime. For the current study, victim information related to their routine activities and lifestyles was taken from an international database containing 662 solved cases of SH. Nine victim variables were used in a latent class analysis to find hidden subgroups within the victim population. Three classes were identified—low-risk, homebody, and overt risk victims—which suggests that SH victimization varies depending on the victim lifestyles and routine activities. These groups were externally validated by examining their association with different phases of the crime commission process. Some sexual homicide offenders may be more drawn to a victim because they present as vulnerable and opportunistic, while others might be methodically targeted. The theoretical relevance of this typology, along with investigative and prevention strategies, is discussed.

Cyberbullying is considered a major threat to adolescent anxiety. In this study, we aim to explore the simultaneous effects of cyberbullying victimization and perpetration on youth anxiety. Building on the childhood adversity model and the vulnerability-stress model, we test the model wherein cyberbullying exposure is linked with cyberostracism, which in turn is expected to be associated with an increase in anxiety. We collected data from 1115 Chinese youth aged 11–19 years based on the stratified random sampling method. Structure equation modelling was conducted in Amos 26.0 to examine the proposed theoretical model. The findings suggested that compared with cyberbullying perpetration, the experience of cyberbullying victimization led to a significantly higher risk of youth anxiety. Multiple mediation analyses revealed that the three dimensions of cyberostracism, namely cyber direct excluded, cyber indirect excluded and cyber ignored, mediated the association of cyberbullying victimization and perpetration with youth anxiety. These results indicate that cyberostracism could be a risk factor for youth anxiety, thus providing new direction regarding intervention programs to reduce anxiety symptoms in adolescents.

The present study examined distinctions between child (n = 30) and adult (n = 212) sexual homicide offenders (SHOs) in Australia and New Zealand, contributing to the limited international research on the subject. Data, primarily sourced from judges' sentencing comments on AustLII and New Zealand Legal Information Institute, revealed significant differences. Child SHOs displayed elevated rates of pedophilia, sexual deviance, and adverse childhood experiences, including sexual abuse. They were more likely to be married, cohabitate, and target familial victims. Their crimes were more often committed during daylight and outdoors, involving tactics such as victim conning, restraints, strangulation, and hiding victim's bodies. No significant group differences emerged regarding offenders' psychopathy or sexual sadism scores. Results were interpreted in line with child SHOs' deviant sexual preferences and the routine activity theory. The study, as the first investigating child sexual homicides in Australia and New Zealand, sets the foundation for an evidence-based approach to policy and practice.

Sextortion, the threatened dissemination of explicit, intimate, or embarrassing images of a sexual nature without consent, is an understudied problem. Despite a recent increase in reported incidents among adolescents in the United States, little is known about the nature and extent of sextortion among this population. The current research explores sextortion behaviors among a national sample of 4972 middle and high school students (mean age = 14.5) for the purpose of illuminating how many youth are targeted, and understanding various characteristics of the incident (including who was involved, what offenders wanted, what offenders did, and who targets told). About 5% of youth reported that they were victims of sextortion, primarily by people they knew. Many of those targeted did not disclose the incident to adults. Implications for future research and the law are discussed.

Social learning theory has been widely implemented to understand cyber deviance. Nevertheless, the antecedent scholarship homogenously nested in the perspective of offending specification, leaving the offending versatility thesis unattained. The lack of such studies may undermine the capability of comprehensively understanding the social learning patterns of online offending. Using a sample of 3741 Chinese college students, this study estimated an array of binary logistic regressions to compare the effects of traditional and online social learning in four types of online offending (online sexual harassment, cyberbullying, hacking, and digital piracy). The results suggest that offending versatility and offending specification co-exist in the social learning process of cyber deviance, while offending specification explains a marginally greater variance. Besides, online learning variables act as potential mediators in the relationships between traditional learning and cyber deviance. Furthermore, traditional social learning shows greater predictive power in cyber-enabled crimes than in cyber-dependent crimes. Our study provides fresh empirical evidence for the non-exclusive association between offending versatility and offending specification in the social learning process of cyber deviance.

This study explores the offender, victim, and environmental characteristics that significantly influence the number of days a sexual homicide victim remains undiscovered. Utilizing a sample of 269 cases from the Homicide Investigation Tracking System database an in-depth analysis was conducted to unveil the factors contributing to the delay in the discovery of victims' bodies. The methodological approach involves applying a negative binomial regression analysis, which allows for the examination of count data, specifically addressing the over-dispersion and excess zeros in the dependent variable - the number of days until the victim is found. The findings reveal that certain offender characteristics, victim traits, and spatio-temporal factors play a pivotal role in the time lag experienced in locating the bodies of homicide victims. These findings have crucial implications for investigative efforts in homicide cases, offering valuable insights that can inform and enhance the efficacy and efficiency of future investigative procedures and strategies.

The study proposes and tests the pathways from receiving welfare assistance to children's bullying victimization. Specifically, the study examines whether children's difficulty making friends and school disconnection mediate the association between welfare assistance receipt to children's bullying victimization. The 2019 National Survey of Children's Health dataset was used, and the sample consisted of 12,230 caregivers of adolescents, aged 12–17 years. A path model was utilized to explore the proposed pathways. Findings suggest that welfare assistance receipt was not significantly associated with children's bullying victimization. It was positively related to children's bullying victimization through the mediating roles of having difficulty making friends and school disconnection. Schools and communities need to create spaces where youth can connect with peers, which is an important part of their development.

The nosology for criminals who murder multiple victims is at once well-established and controversial, perhaps because theorists have largely segregated such offenders from the broader criminal population. The current study introduces the superhomicide offender, an individual convicted of at least five murders, to locate multiple homicide offenders within the criminological and epidemiological science pertaining to the most pathological offenders, and statistically place them with other conceptualizations of severe offenders at the 95th percentile of the offending distribution. Relative to other capital murderers, superhomicide offenders have lengthier criminal history, greater conviction history, and coextensive psychopathology characterized by psychopathy, sexual sadism, homicidal ideation, cluster A and B personality disorders, and major depressive disorder. Superhomicide offenders are profoundly psychopathic with 20 of the 39 offenders reaching the clinical threshold of 30 or more on the PCL-R, and 19 of the 39 are sexually sadistic. Regarding extant typologies of sexual and multiple homicide offenders, 15 are serial murderers, 17 are sexual homicide offenders, 17 are mass murderers, and 17 are spree murderers. Twenty-four of the 39 superhomicide offenders (61.5%) met criteria for multiple typologies, suggesting the new prototype can help unify the study of those who perpetrate multicide and embed them within criminological and epidemiological models that specify pathological antisocial outcomes.

Although most people have heard the terms ‘souvenirs’, ‘trophies’, and ‘mementos’, discussed in books and movies on the true crimes of sexual murderers, limited research has delved into the phenomenon of theft in sexual homicide (SH). Using a sample of 762 SH cases coming from the Sexual Homicide International Database, the current study examines the crime-commission process of the pre-crime, crime, and post-crime phases of sexual homicide offenders (SHOs) who engaged in theft during a SH. Additionally, this study seeks to determine if a specific type of SHO engages in this behaviour over others. Results from the sequential logistic regression indicate that victims who are 16 years or older, were strangers to the SHO, and were sex workers were more likely to be victims of theft. Additionally, results indicate that the presence of sadism made it more likely the SHO would engage in theft from the victim and/or crime scene. Findings suggest there is a group of SHOs who engage in theft not for monetary purposes but due to the paraphilia of the offender. These findings can inform the police investigation of these crimes.