Impact Assessment Through Interrupted Time Series: Divergent Influences of Stay-at-Home Order on Socioeconomically Disadvantaged Areas in NYC Shooting Incidents.

This study examines the impact of the COVID-19 pandemic and stay-at-home (SAH) orders on gun violence in New York City (NYC), with a focus on variations across neighborhood demographic and socioeconomic characteristics. Using a 4-year longitudinal and geospatial analysis, we investigate the relationship between socioeconomic factors (e.g.

Defending Others Online: The Influence of Observing Formal and Informal Social Control on One's Willingness to Defend Cyberhate Victims.

This paper examines factors correlated with online self-help-an informal form of social control vis-à-vis intervention-upon witnessing a cyberhate attack. Using online surveys from 18- to 26-year-old respondents in the United States, we explore the roles of various types of online and offline formal and informal social control mechanisms on the enactment of self-help through the use of descriptive statistics and ordinal logistic regression. The results of the multivariate analyses indicate that online collective efficacy is positively related to self-help, as is having close ties to individuals and groups offline and online.

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.

Factors Associated with Online Hate Acceptance: A Cross-National Six-Country Study among Young Adults.

The Internet, specifically social media, is among the most common settings where young people encounter hate speech. Understanding their attitudes toward the phenomenon is crucial for combatting it because acceptance of such content could contribute to furthering the spread of hate speech as well as ideology contamination. The present study, theoretically grounded in the General Aggression Model (GAM), investigates factors associated with online hate acceptance among young adults.

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.

Targets of Online Hate: Examining Determinants of Victimization Among Young Finnish Facebook Users.

Drawing from routine activity theory (RAT), this article seeks to determine the crucial factors contributing to youth victimization through online hate. Although numerous studies have supported RAT in an online context, research focusing on users of particular forms of social media is lacking. Using a sample of 15- to 18-year-old Finnish Facebook users (n = 723), we examine whether the risk of online hate victimization is more likely when youth themselves produced online hate material, visited online sites containing potentially harmful content, and deliberately sought out online hate material.

The contagious nature of imprisonment: an agent-based model to explain racial disparities in incarceration rates.

We build an agent-based model of incarceration based on the susceptible-infected-suspectible (SIS) model of infectious disease propagation. Our central hypothesis is that the observed racial disparities in incarceration rates between Black and White Americans can be explained as the result of differential sentencing between the two demographic groups. We demonstrate that if incarceration can be spread through a social influence network, then even relatively small differences in sentencing can result in large disparities in incarceration rates.

Religiosity and participation in mutual-aid support groups for addiction.

Mutual-aid support groups play a vital role in substance abuse treatment in the United States. A national survey of mutual-aid support groups for addiction was conducted to identify key differences between participants in recovery groups. Survey data indicate that active involvement in support groups significantly improves one's chances of remaining clean and sober, regardless of the group in which one participates.