Crime Science最新文献

This paper addresses the question whether and to what extent the experience of online hate speech affects victims’ sense of security. Studies on hate crime in general show that such crimes are associated with a significantly higher feeling of insecurity, but there is little evidence concerning feeling of insecurity due to online hate speech. Based on a secondary data analysis of a representative population survey in Lower Saxony, Germany, on the topic of cybercrime in 2020 (N = 4,102), we tested three hypotheses regarding the effect of offline and online hate speech on feelings of insecurity. As a result, compared to non-victims, victims of online hate speech exhibit a more pronounced feeling of insecurity outside the Internet, while victims of other forms of cybercrime do not differ in this regard from non-victims. We found no effect for offline hate speech when relevant control variables were included in the statistical model. Possible reasons for this finding are assumed to lie in the characteristics of the phenomenon of online hate speech, for example, because the hateful content spreads uncontrollably on the Internet and reaches its victims even in protected private spheres.

This study aims to provide an understanding of the nature, extent, and quality of the research evidence on identity fraud victimization in the US. Specifically, this article reviews, summarizes, and comments on the state of empirical research of identity fraud victimization in the US based on a narrative review of 52 published empirical studies. Studies included in this review suggest that the prevalence of identity fraud in the US has increased over the years and existing account frauds is the most prevalent type of identity fraud. There is a pressing need for more research on the prevalence of identity fraud victimization among minors, institutionalized individuals, and individuals from minority groups; long-term prevalence of identity fraud victimization; and emerging forms of identity fraud such as synthetic identity fraud victimization. Studies included in this review further suggest that identity fraud risk factors vary based on the fraud type considered. Identity fraud victims can experience a variety of harms. Longitudinal studies following identity fraud victims are essential for reliably estimating the risk factors for identity fraud victimization and the impact of identity fraud victimization on individual victims. The research on services for identity fraud victims is limited and suggests the positive impact of trauma-informed services for serious identity fraud victims. The overwhelming lack of research on the impact of programs and services for identity fraud victims necessitates more attention from scholars to study the impact of programs, interventions, and services for identity fraud victims on reporting of victimization, prevention of victimization, experiences of victims, and victim-centered cost benefit analysis of services. Policy and practice implications of these findings are discussed.

Abstract

Abstract

This preregistered scoping review provides an account of studies which have examined the spatial patterning of emergency reactive police demand (ERPD) as measured by calls for service data. To date, the field has generated a wealth of information about the geographic concentration of calls for service, but the information remains unsynthesised and inaccessible to researchers and practitioners. We code our literature sample (N = 79) according to the types of demand studied, the spatial scales used, the theories adopted, the methods deployed and the findings reported. We find that most studies focus on crime-related call types using meso-level (e.g., neighborhood) spatial scales. Descriptive methods demonstrate the non-random distribution of calls, irrespective of their type, while correlational findings are mixed, providing minimal support for theories such as social disorganization theory. We conclude with suggestions for future research, focusing on how the field can better exploit open data sources to ‘scale-up’ analyses.

This study introduces an algorithmic strategy for measuring dimensions of police presence at microgeographic units using GPS data from police patrol units. The proposed strategy builds upon the integrated theory of hot spots patrol strategy from Sherman et al. (Journal of Contemporary Criminal Justice 30:95-122, 2014), focusing on three key dimensions: the frequency, duration, and intermittency of police presence. This study provides pseudocodes for the algorithm, facilitating the pre-processing of GPS-derived data sequences to generate measures of these three central concepts. The measures presented in this article offer a framework for investigating the impact of police presence on crime and other relevant crime-related outcomes at microgeographic units, using GPS data. This algorithmic strategy may further contribute to the development of evidence-based strategies in place-based policing initiatives.

Abstract

Analyses of emergency calls for service data in the United States suggest that around 50% of dispatched police deployment time is spent on crime-related incidents. The remainder of time is spent in a social service capacity: attending well-being checks and resolving disturbances, for instance. These findings have made a considerable contribution to the discourse around public perceptions of the police and the distribution of public funds towards (or away) from law enforcement. Yet, an outstanding issue remains. No investigation has been undertaken into whether findings are robust to the different ways in which ‘time spent’ is operationalized in these studies. Using dispatch data for Amsterdam during 2019, this study compares three operationalizations of ‘time spent’. Additionally, in order to provide some context on the potential mechanisms through which these different operationalizations might yield different results, we report on dispatch numbers per incident category and provide an initial exploration into ‘multi-dispatch’ incident types. We find that general proportional breakdowns are fairly robust to the time measure used. However, for some incident categories (e.g. Health) and incident types (e.g. Shootings), analyzed in isolation, the results are not robust to the different operationalizations. We propose that the mechanism explaining this lack of robustness can be traced to the high dispatch numbers for specific incident categories and types, particularly those with an imminent threat to life.

Preregistration: This study has been preregistered under the title: Scale and composition of emergency reactive police demand in Amsterdam, Netherlands (https://osf.io/qgwv6/).