There is a considerable amount of hate material online, but the degree to which individuals are exposed to these materials vary. Using samples of youth and young adults from four countries, we investigate who is exposed to hate materials. We find support for using routine activity theory to understand exposure at the individual level; however, there is significant cross-national variation in exposure after accounting for individual-level factors. We consider two plausible hypotheses that could account for this cross-national variation. The data best fit the hypothesis that anti–hate speech laws may provide a source of guardianship against exposure.

This paper examines cross-national commonalities and differences in online hate speech content, exposure, and emotional reaction. Using online surveys from 18 to 25-year-old respondents in six countries, we find a majority of respondents were exposed to online hate in the preceding 3 months. Commonalities across countries are the platform where the respondents were exposed and how they arrived at such content. Unique national cultures of hate speech also exist, including the common targets and respondents’ emotional reactions. A majority of respondents report feeling angry, sad, or ashamed, but most worrisome may be the substantial numbers who report feelings of hatred or pride after seeing online hate. Given the potential for repeated exposure and the recent increase in hate crimes in the US. and Europe, this finding should serve as a reminder of the dangers of online hate and its potential link to offline violence.

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.

As the world becomes increasingly connected and interdependent upon technology, crimes are moving online. Research on cybercrime is beginning to test the applicability of traditional criminological theories for understanding crime in this new medium. Using a national sample of 215 self-admitted cybercriminals, we examine Messner and Rosenfeld’s institutional anomie theory. Negative binomial regressions reveal that expressed levels of institutional anomie correlate with increased cybercrime activity. A curvilinear relationship was found, such that low and high levels of institutional anomie lead to higher levels of cybercrime. Our findings reveal how the dark side of the American Dream can lead to online criminality. Specifically, the penetration of, and accommodation to economic values dictated by American capitalism can lead individuals to adopt values such as the fetishism of money that, in turn, affects their online behavior and criminality.

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. We collected survey data from participants aged 18–26 from six countries: Finland (n = 483), France (n = 907), Poland (n = 738), Spain (n = 739), the United Kingdom (n = 959), and the United States (n = 1052). Results based on linear regression modeling showed that acceptance of online hate was strongly associated with acceptance of violence in all samples. In addition, participants who admitted to producing online hate reported higher levels of acceptance of it. Moreover, association with social dominance orientation was found in most of the samples. Other sample-specific significant factors included participants’ experiences with the Internet and online hate, as well as empathy and institutional trust levels. Significant differences in online hate acceptance levels and the strength of its connections to individual factors were found between the countries. These results provide important insights into the phenomenon, demonstrating that online hate acceptance is part of a larger belief system and is influenced by cultural background, and, therefore, it cannot be analyzed or combatted in isolation from these factors.