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Found 5 papers, 4 papers with code
COBRA Frames: Contextual Reasoning about Effects and Harms of Offensive Statements
To study the contextual dynamics of offensiveness, we train models to generate COBRA explanations, with and without access to the context.
Examining Racial Bias in an Online Abuse Corpus with Structural Topic Modeling
We then use structural topic modeling to examine the content of the tweets and how the prevalence of different topics is related to both abusiveness annotation and dialect prediction.
Racial Bias in Hate Speech and Abusive Language Detection Datasets
Technologies for abusive language detection are being developed and applied with little consideration of their potential biases.
Understanding Abuse: A Typology of Abusive Language Detection Subtasks
As the body of research on abusive language detection and analysis grows, there is a need for critical consideration of the relationships between different subtasks that have been grouped under this label.
Automated Hate Speech Detection and the Problem of Offensive Language
We train a multi-class classifier to distinguish between these different categories.
