274 citations · 285 across the 2 of their papers we have counts for
4 papers · 1 filter
Examining Racial Bias in an Online Abuse Corpus with Structural Topic Modeling
Thomas Davidson, Debasmita Bhattacharya
We use structural topic modeling to examine racial bias in data collected to train models to detect hate speech and abusive language in social media posts. We augment the abusive l…
Racial Bias in Hate Speech and Abusive Language Detection Datasets
Thomas Davidson, Debasmita Bhattacharya, Ingmar Weber
Technologies for abusive language detection are being developed and applied with little consideration of their potential biases. We examine racial bias in five different sets of Tw…
Understanding Abuse: A Typology of Abusive Language Detection Subtasks
Zeerak Waseem, Thomas Davidson, Dana Warmsley +1
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…
Automated Hate Speech Detection and the Problem of Offensive Language
Thomas Davidson, Dana Warmsley, Michael Macy +1
A key challenge for automatic hate-speech detection on social media is the separation of hate speech from other instances of offensive language. Lexical detection methods tend to h…