Crime & Delinquency

We investigated the relationship between COVID-19 stay-at-home regulations and property and violent crime indexes in Dallas, TX during the first 6 months of 2020. We tested for changes in property and violent crime trends using four key “intervention” dates: the stay-at-home order issued by Judge Clay Jenkins (March 24), the start of Governor Abbott’s phase one of re-opening (May 1), a second phase of more widespread re-openings (May 18), and a third phase of increased capacity limits for businesses (June 3). Our analyses point to two main findings: (1) the time between the initial stay-at-home policy and the phase one re-opening was associated with an increase in the trend of both violent and property crime (although at lower levels than pre-pandemic); and (2) the third phase of re-opening the City of Dallas was associated with higher daily counts of property and violent crime. Our findings suggest that policy makers need to consider policies not only related to police enforcement but also allocation of other social services, particularly when such a sudden policy (e.g., stay-at-home order) is implemented.

The current study investigates the effects of coronavirus restrictions on family violence in the seventh largest city in the country, San Antonio, Texas. Two streams of data were used to evaluate the potential change between what occurred during the lockdown period versus what would have been expected, including the COVID-19 Government Response Stringency Index and police calls for service from the San Antonio Police Department. The methodological approach used takes advantage of feature engineering, various machine learning time series forecasting techniques commonly leveraged in financial technical analysis, as well as cross-validation for optimized model selection. These techniques have not been considered in previous domestic or family violence-related research. During the lockdown period in San Antonio, we observed a larger than expected increase in calls to police for family violence incidents. Specifically, an increase of over fourteen percent of police calls for family incidents was observed. The findings of the current study suggest that social service and social welfare agencies consider and plan for how future pandemics or other major disasters will affect the incidence of family violence and take appropriate steps now to bolster resources and scale up for the future.

This study examined the temporal variations in calls for service before, during, and after the COVID-19 pandemic lockdown in China using a sample of 37,124 police service calls made from January 1, 2019, to December 31, 2020 to a 110 command center in a county-level city in Hubei Province. There was a significant temporal effect, and the calls for service peaked between 08:00 and 19:59 throughout the entire period. The busiest hours of the day for calls for police service were between 12:00 and 19:59, and the calls peaked between 12:00 and 15:59 during the lockdown. The distribution of calls by weekday showed no significant pattern, with the exception of traffic-related calls. The results are discussed from the perspective of routine activity theory.

Few schemes for monetizing stolen credit card data are as bold as the fuel theft scam. Skimming devices embedded inside gas pumps steal credit card data from customers which can be used to engage in any manner of illegal economic activities, however, empirical research on gas pump skimming is virtually non-existent. This study uses data from the State of Texas to examine the patterning of gas pump skimming, focusing on changes in prevalence in the months prior and the year following COVID-19 lockdowns being lifted in June 2020. Our findings suggest that (1) skimmer hits significantly increased after COVID-19 lockdowns and (2) that this “COVID effect” persisted even when controlling for other structural characteristics, including theoretically-relevant factors such as the average price of gas.

This mixed-method study examined changes implemented in Pennsylvania community corrections agencies during the early phases of the COVID-19 pandemic. We surveyed (N = 54; 83% response rate) and interviewed (N = 10) county Chiefs of probation and parole regarding changes to agency policies, processes of this change, and expected sustainability. Findings revealed meaningful changes to community corrections policy initiated by the pandemic through new modes of supervision contact —such as “curbside probation”— and new policies regarding violations of supervision that align with evidence-based principles. The moment’s urgency provided a rare but effective impetus for reform, but perceptions of sustainability varied across Chiefs’ role orientations. Our findings demonstrate how this moment expanded the footprint of evidence-based practice through local criminal justice reform and reveal new insights into capacities for and processes of change.

Through in-depth interviews, this study focuses on the experiences and perceptions of 15 Black, female correctional officers (COs) employed at Rikers Island, one of the country’s biggest jail complexes. Furthermore, this paper underlines the experiences of COs during the COVID-19 pandemic, which hit New York City particularly hard in spring 2020. Thematic analysis suggests that participants do not receive needed mental health services from the Department of Correction; experience physical and mental health stressors as a result of the COVID-19 pandemic; and negatively perceive the impact of COVID-19 on the physical and mental health of justice-involved individuals.

Little is known about how justice-involved youth are coping with stress related to COVID-19. This study examined changes in psychological distress and antisocial behavior indicators among 557 youths on probation who completed two assessments during pre-COVID-19 conditions and two assessments during post-COVID-19 conditions. Drawing from Agnew’s General Strain Theory, the study used multivariate latent growth models to examine: (a) changes in psychological distress and antisocial behavior over time, (b) the associations of the changes, and (c) differences across sex, race, and ethnicity regarding changes in psychological distress. In support of General Strain Theory, results highlight that indicators of psychological distress and antisocial behavior increased during post-COVID-19 conditions when compared to pre-COVID-19 conditions for the full sample and for subsamples of youth categorized by sex, race, and ethnicity.

Anti-Asian hate crimes have increased during the COVID-19 pandemic. Yet, no research has considered whether crime reporting patterns are different among Asian hate crime victims, relative to other victims. Following this, this research presents an examination of differences in reporting victimization to the police between Asian and non-Asian victims using information from 997 respondents who experienced a hate crime in the first 1 to 2 months of the pandemic. Results indicate that Asian victims are significantly and substantially less likely to report victimization to the police than other victims. Taken together, these results suggest that current estimates of increases in anti-Asian hate crime based on official crime statistics—although high—may actually be an under-estimation of the true extent of the problem.

In the early stages of the COVID-19 pandemic, governments enacted guidelines to mitigate the spread of the coronavirus. Public defiance of these guidelines invoked instrumental concerns about the virus and normative concerns regarding government mandates and overreach during the pandemic. Drawing on normative and instrumental explanations for compliance with the law, the current study uses a national sample of 600 American adults surveyed during the beginning of the pandemic to examine defiance of these guidelines. Using structural equation modeling, we find that legal cynicism is positively associated with defiance, while fear and perceived severity of the coronavirus are negatively related to defiance. Findings suggest that fostering compliance with public health guidelines will involve reducing legal cynicism among the public.

Terrorist groups have integrated social discourse into their narratives to exploit public fear. The COVID-19 pandemic has provided an opportunity to measure how ISIS modified narratives, stimulated group communication, reinforced enemy hatred, and employed new mobilization/recruitment strategies. Using Significance Quest Theory, this study examines ISIS’s Twitter activity related to COVID-19 (N = 630,201) and how the group leverages the psychological effects and the social disruption. This study employs a two-stage analysis of tweet sentiment and emotion with a statistical analysis of retweet-motivating factors to explore how ISIS manages its narrative, needs, and network. Results show content with higher negative sentiment scores had more retweets across all sample sets. Insights include deeper understanding of extremist activity and group adaptation to external changes.