The rise of racial hate speech on social media has raised critical questions for scholars to explore. It is necessary to understand how outside observers passively evaluate (a) online racial hate speech posts on social media and (b) whether those evaluations are related to observers’ subsequent behavior. This study explored how observers evaluate acts of majority-on-minority and minority-on-minority anti-Asian hate tweets on Twitter. In an experiment ( n = 196) informed by expectancy violations theory, we tested how White observers evaluated anti-Asian tweets ostensibly posted by either a White or Black source. Analysis revealed a moderated-mediation pathway in which observers’ political partisanship (Democrat/Republican) affected how they ...
To what extent are intergroup attitudes associated with regional differences in online aggression an...
Alongside the coronavirus (Covid-19) outbreak, a racism pandemic has spread throughout the United St...
Online, anyone’s words can easily be amplified – and on Twitter, the platform’s algorithm highlights...
This study attempts to fill the void in the understanding of anti-Asian racism social media activism...
In Japan, the rapid and widespread dissemination of online xenophobic discourse has been increasingl...
Despite an increasing body of research focusing on the use of social media posts for inferring vario...
The ability of social media users to express themselves online should be influential for opinion for...
Background: Anecdotal reports suggest a rise in anti-Asian racial attitudes and discrimination in re...
Since platform operators are severely challenged to cope with hate speech on social networking sites...
Social norms against prejudice are widespread and generally supported by society, yet examples of bi...
Social media has become an indispensable channel for political communication. However, the political...
With the increased use of online communication in our everyday lives, there is a growing need to und...
This paper examines the effect of online social network interactions on future attitudes. Specifical...
What drives engagement on social media has been the focus of social scientific inquiry especially in...
To what extent are intergroup attitudes associated with regional differences in online aggression an...
To what extent are intergroup attitudes associated with regional differences in online aggression an...
Alongside the coronavirus (Covid-19) outbreak, a racism pandemic has spread throughout the United St...
Online, anyone’s words can easily be amplified – and on Twitter, the platform’s algorithm highlights...
This study attempts to fill the void in the understanding of anti-Asian racism social media activism...
In Japan, the rapid and widespread dissemination of online xenophobic discourse has been increasingl...
Despite an increasing body of research focusing on the use of social media posts for inferring vario...
The ability of social media users to express themselves online should be influential for opinion for...
Background: Anecdotal reports suggest a rise in anti-Asian racial attitudes and discrimination in re...
Since platform operators are severely challenged to cope with hate speech on social networking sites...
Social norms against prejudice are widespread and generally supported by society, yet examples of bi...
Social media has become an indispensable channel for political communication. However, the political...
With the increased use of online communication in our everyday lives, there is a growing need to und...
This paper examines the effect of online social network interactions on future attitudes. Specifical...
What drives engagement on social media has been the focus of social scientific inquiry especially in...
To what extent are intergroup attitudes associated with regional differences in online aggression an...
To what extent are intergroup attitudes associated with regional differences in online aggression an...
Alongside the coronavirus (Covid-19) outbreak, a racism pandemic has spread throughout the United St...
Online, anyone’s words can easily be amplified – and on Twitter, the platform’s algorithm highlights...