Departing from Jessie Daniels's 2013 review of scholarship on race and racism online, this
article maps and discusses recent developments in the study of racism and hate speech in …

Hate Speech in social media is a complex phenomenon, whose detection has recently
gained significant traction in the Natural Language Processing community, as attested by …

Toxic language detection systems often falsely flag text that contains minority group
mentions as toxic, as those groups are often the targets of online hate. Such over-reliance …

Hate speech is a challenging issue plaguing the online social media. While better models
for hate speech detection are continuously being developed, there is little research on the …

Generated hateful and toxic content by a portion of users in social media is a rising
phenomenon that motivated researchers to dedicate substantial efforts to the challenging …

Societal crises, such as the COVID-19 pandemic, produce societal instability and create a
fertile ground for radicalization. Extremists exploit such crises by distributing disinformation …

Should social media platforms override a community's self-policing when it repeatedly break
rules? What actions can they consider? In light of this debate, platforms have begun …

Social media platforms have evolved into an online representation of our social interactions.
We may use the resources they provide to analyze phenomena that occur within them, such …

We present a large-scale characterization of the Manosphere, a conglomerate of Web-
based misogynist movements focused on men's issues, which has prospered online …

Hate speech classifiers trained on imbalanced datasets struggle to determine if group
identifiers like" gay" or" black" are used in offensive or prejudiced ways. Such biases …