177 citations · 219 across the 14 of their papers we have counts for
4 papers · 1 filter
Is More Data Better? Re-thinking the Importance of Efficiency in Abusive Language Detection with Transformers-Based Active Learning
Hannah Rose Kirk, Bertie Vidgen, Scott A. Hale
Annotating abusive language is expensive, logistically complex and creates a risk of psychological harm. However, most machine learning research has prioritized maximizing effectiv…
Deciphering Implicit Hate: Evaluating Automated Detection Algorithms for Multimodal Hate
Austin Botelho, Bertie Vidgen, Scott A. Hale
Accurate detection and classification of online hate is a difficult task. Implicit hate is particularly challenging as such content tends to have unusual syntax, polysemic words, a…
Claim Matching Beyond English to Scale Global Fact-Checking
Ashkan Kazemi, Kiran Garimella, Devin Gaffney +1
Manual fact-checking does not scale well to serve the needs of the internet. This issue is further compounded in non-English contexts. In this paper, we discuss claim matching as a…
Detecting East Asian Prejudice on Social Media
Bertie Vidgen, Austin Botelho, David Broniatowski +6
The outbreak of COVID-19 has transformed societies across the world as governments tackle the health, economic and social costs of the pandemic. It has also raised concerns about t…