By Bruce A. Jacobs, and Michael Cherbonneau

Carjacking is a violent crime with a broad motivational landscape related to the unique opportunities that a motor vehicle, as the item targeted, makes available to offenders once it is stolen. Although carjacking is technically a form of robbery, carjacking is a hybrid offense because it draws from elements of both regular robbery and motor vehicle theft. Nuanced in its etiology and expression, carjacking boasts a structure and process that require offenders to navigate multiple challenges under considerable time pressure and uncertainty. The fact that carjacking is so often opportunistic yet simultaneously requires a fair amount of calculation makes the offense even more subtle in its complexity. The purpose of this review is to examine these nuances through the lens of official data and existing empirical research. Nascent but growing, this research provides insight into the scope of the problem, the method and manner of the crime's commission, and the challenges of curbing a clear urban menace.

Annual Review of Criminology, v. 6. 2023, 24pg

By Luca Giommoni, Ruth Ikwu

   This study identifies the presence of human trafficking indicators in a UK-based sample of sex workers who advertise their services online. To this end, we devel oped a crawling and scraping software that enabled the collection of information from 17, 362 advertisements for female sex workers posted on the largest dedicated platform for sex work services in the UK. We then established a set of 10 indicators of human trafficking and a transparent and replicable methodology through which to detect their presence in our sample. Most of the advertisements (58.3%) contained only one indicator, while 3,694 of the advertisements (21.3%) presented 2 indicators of human trafficking. Only 1.7% of the advertisements reported three or more indica tors, while there were no advertisements that featured more than four. 3, 255 adver tisements (19.0%) did not contain any indicators of human trafficking. Based on this analysis, we propose that this approach constitutes an effective screening process for quickly identifying suspicious cases, which can then be examined by more compre hensive and accurate tools to identify if human trafficking is occurring. We conclude by calling for more empirical research into human trafficking indicators

Trends in Organized Crime. 2024, 14pg

By U.S. Government Accountability Office

   The U.S. and its global partners are experiencing the effects of a massive cybercrime wave, which is growing in frequency and scale. In 2021, the Federal Bureau of Investigation received a record number of cybercrime complaints, over 840,000, with potential losses exceeding $6.9 billion. Further, in 2022, the intelligence community noted an increase in ransomware attacks by transnational criminals, which threaten to cause disruptions of critical services worldwide. GAO was asked to review federal efforts to build the capacity of allies and partner nations to combat cybercrime. This report’s specific objectives were to (1) describe challenges in building global capacity to combat cybercrime, and (2) determine actions selected federal agencies are taking to build foreign nations’ capacity to combat cybercrime and the extent to which they are evaluating the effectiveness of their efforts. GAO interviewed agency officials and convened a panel of experts representing entities focused on capacity building to combat global cybercrime. GAO also analyzed documentation from State, DOJ, and DHS, which provide the majority of U.S. capacity building assistance. What GAO Recommends GAO is making one recommendation to State to conduct a comprehensive evaluation of capacity building efforts to counter cybercrime. State concurred with the recommendation. 

 Washington, DC: GAO, 2023. 49p.

By Muhammad Amien Ibrahim, Samsul Arifin and Eko Setyo Purwanto

Social media moderation is a crucial component to establish healthy online communities and ensuring online safety from hate speech and offensive language. In many cases, hate speech may be targeted at specific gender which could be expressed in many different languages on social media platforms such as Indonesian Twitter. However, difficulties such as data scarcity and the imbalanced gender-based hate speech dataset in Indonesian tweets have slowed the development and implementation of automatic social media moderation. Obtaining more data to increase the number of samples may be costly in terms of resources required to gather and annotate the data. This study looks at the usage of data augmentation methods to increase the amount of textual dataset while keeping the quality of the augmented data. Three augmentation strategies are explored in this study: Random insertion, back translation, and a sequential combination of back translation and random insertion. Additionally, the study examines the preservation of the increased data labels. The performance result demonstrates that classification models trained with augmented data generated from random insertion strategy outperform the other approaches. In terms of label preservation, the three augmentation approaches have been shown to offer enough label preservation without compromising the meaning of the augmented data. The findings imply that by increasing the amount of the dataset while preserving the original label, data augmentation could be utilized to solve issues such as data scarcity and dataset imbalance.

United States, Journal Of Computer Science. 2023, 9pg

By Bridget Harris & Delaine Woodlock

This project explored the impact of technology on victim–survivors of intimate partner violence in regional, rural or remote areas who are socially or geographically isolated. Specifically, it considered the ways that perpetrators use technology to abuse and stalk women, and how technology is used by victim–survivors to seek information, support and safety. Interviews and focus groups with 13 women were conducted in regional, rural and remote Victoria, New South Wales and Queensland. The findings showed that perpetrators used technology to control and intimidate women and their children. While this impacted women and children’s lives in significant ways, causing fear and isolation, the use of technology was often not viewed as a serious form of abuse by justice agents. 

Australia, Institute of Criminology. 2022, 81pg

By Alaina De Biasi Edmund F. McGarrell Scott E. Wolfe

Historically, crime in the United States has been measured by the Uniform Crime Reporting (UCR) system administered by the Federal Bureau of Investigation (FBI). In this system, local, county, state, Tribal and federal law enforcement agencies submit summary crime data on incidents and arrests to the UCR system. Crime patterns and trends can then be analyzed and tracked at local, state, and national levels. 

United States, Michigan Justice Statistics Center, School of Criminal Justice, Michigan State University. 2023. 33pg