316 citations · 618 across the 41 of their papers we have counts for
3 papers · 1 filter
Learning from the Worst: Dynamically Generated Datasets to Improve Online Hate Detection
Bertie Vidgen, Tristan Thrush, Zeerak Waseem +1
We present a human-and-model-in-the-loop process for dynamically generating datasets and training better performing and more robust hate detection models. We provide a new dataset…
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…
Directions in Abusive Language Training Data: Garbage In, Garbage Out
Bertie Vidgen, Leon Derczynski
Data-driven analysis and detection of abusive online content covers many different tasks, phenomena, contexts, and methodologies. This paper systematically reviews abusive language…