274 citations · 292 across the 4 of their papers we have counts for
6 papers
COBRA Frames: Contextual Reasoning about Effects and Harms of Offensive Statements
Xuhui Zhou, Hao Zhu, Akhila Yerukola +4
Warning: This paper contains content that may be offensive or upsetting. Understanding the harms and offensiveness of statements requires reasoning about the social and situational…
Partisan US News Media Representations of Syrian Refugees
Keyu Chen, Marzieh Babaeianjelodar, Yiwen Shi +13
We investigate how representations of Syrian refugees (2011-2021) differ across US partisan news outlets. We analyze 47,388 articles from the online US media about Syrian refugees…
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…