Changes in Online Illegal Drug Buying during COVID-19: Assessing Effects due to a Changing Market or Changes in Strain using a Longitudinal Sample Design.

This research uses longitudinal data to investigate if illegal online drug purchases changed over time during the COVID-19 pandemic, and if these changes were primarily driven by users adjusting to market conditions or by a heightened level of pandemic-induced strain that could drive a greater demand for drugs. Data were collected across four waves between fall 2019 and fall 2021 using an online survey. Data showed an increase in reported online drug purchases across the waves, but the online drug purchases remained consistent for the first year of the pandemic, but increased by approximately 44% between the fall 2020 and fall 2021 when over 13 percent of the sample admitted to buying illegal drugs online. Strain was also related to buying illegal drugs online as those respondents who made illegal online purchased had an average of 5.2 strain events in the past 12 months compared to only 2.4 events among those who did not report purchasing illegal drugs online. However, the influence of strain on online purchases remained consistent across time. These results suggest that the increase in online drug purchases was primarily driven by users adapting to changing market conditions rather than the cumulative strains associated with the pandemic producing a greater effect on purchases. Policy implications are also discussed.

Cybercrime in America amid COVID-19: the Initial Results from a Natural Experiment.

The COVID-19 pandemic has radically altered life, killing hundreds of thousands of people and leading many countries to issue "stay-at-home" orders to contain the virus's spread. Based on insights from routine activity theory (Cohen & Felson 1979), it is likely that COVID-19 will influence victimization rates as people alter their routines and spend more time at home and less time in public. Yet, the pandemic may affect victimization differently depending on the type of crime as street crimes appear to be decreasing while domestic crimes may be increasing. We consider a third type of crime: cybercrime. Treating the pandemic as a natural experiment, we investigate how the pandemic has affected rates of cybervictimization. We compare pre-pandemic rates of victimization with post-pandemic rates of victimization using datasets designed to track cybercrime. After considering how the pandemic may alter routines and affect cybervictimization, we find that the pandemic has not radically altered cyberroutines nor changed cybervictimization rates. However, a model using routine activity theory to predict cybervictimization offers clear support for the theory's efficacy both before and after the pandemic. We conclude by considering plausible explanations for our findings.