316 citations · 618 across the 41 of their papers we have counts for
5 papers · 1 filter
Two Contrasting Data Annotation Paradigms for Subjective NLP Tasks
Paul Röttger, Bertie Vidgen, Dirk Hovy +1
Labelled data is the foundation of most natural language processing tasks. However, labelling data is difficult and there often are diverse valid beliefs about what the correct dat…
An influencer-based approach to understanding radical right viral tweets
Laila Sprejer, Helen Margetts, Kleber Oliveira +2
Radical right influencers routinely use social media to spread highly divisive, disruptive and anti-democratic messages. Assessing and countering the challenge that such content po…
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…
Dynabench: Rethinking Benchmarking in NLP
Douwe Kiela, Max Bartolo, Yixin Nie +16
We introduce Dynabench, an open-source platform for dynamic dataset creation and model benchmarking. Dynabench runs in a web browser and supports human-and-model-in-the-loop datase…
Tackling Racial Bias in Automated Online Hate Detection: Towards Fair and Accurate Classification of Hateful Online Users Using Geometric Deep Learning
Zo Ahmed, Bertie Vidgen, Scott A. Hale
Online hate is a growing concern on many social media platforms and other sites. To combat it, technology companies are increasingly identifying and sanctioning `hateful users' rat…