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 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.

Hateful online attacks targeting individuals of Asian descent have increased dramatically in the wake of the coronavirus pandemic. This study examines daily trends in inflammatory keywords associated with anti-Asian cyberhate using data collected from Twitter between January 1, 2020 and February 28, 2021. Additionally, we explore the sentiment of tweets and track the evolution of discourse on Twitter regarding Asians and the coronavirus. Our results indicate that the usage of inflammatory keywords associated with anti-Asian hate on Twitter rose dramatically at the outset of the outbreak, and then spiked at various points over the next fourteen months. Notably, offline events and rhetoric appear to have affected the rate of hateful tweets about the pandemic targeting Asians. Additionally, we find that discourse on Twitter around the words China, Chinese, Asians, and virus has become increasingly negative and stigmatizing during the course of the coronavirus outbreak.