Understanding sexual homicide in Korea using machine learning algorithms.

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.

Identifying victim types in sexual homicide: A latent class analysis using interactional victimology theories.

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.

A Criminological Perspective on the Sexual Victimization of Older Adults.

PURPOSE OF REVIEW: This review presents recent research on the sexual abuse of older adults and examines this phenomenon from a criminological perspective. Much of the previous work has neglected to consider the entirety of the crime-commission process. Therefore, the work highlighted in this review showcases important information regarding the individual who committed the crime, the victim, and the criminal event as a whole. RECENT FINDINGS: Comparative studies suggest that the motivations of people who commit sexually victimize older adults are vast and can include those that are sexually and anger motivated, while the victims present with unique vulnerabilities, such as disabilities and spending most of their time at home, that make them more susceptible to excessive violence. People who commit sexual abuse against older adults are a heterogenous group, and the context of victim vulnerabilities is key to understanding why they are targeted. Specific prevention and investigative practices can be formed to better address this crime and protect older adults from future victimization.