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Deciphering Implicit Hate: Evaluating Automated Detection Algorithms for Multimodal Hate

Jun 10, 2021
Austin Botelho, Bertie Vidgen, Scott A. Hale

* Findings of ACL, 2021 
* Please note the paper contains examples of hateful content 

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Dynabench: Rethinking Benchmarking in NLP

Apr 07, 2021
Douwe Kiela, Max Bartolo, Yixin Nie, Divyansh Kaushik, Atticus Geiger, Zhengxuan Wu, Bertie Vidgen, Grusha Prasad, Amanpreet Singh, Pratik Ringshia, Zhiyi Ma, Tristan Thrush, Sebastian Riedel, Zeerak Waseem, Pontus Stenetorp, Robin Jia, Mohit Bansal, Christopher Potts, Adina Williams

* NAACL 2021 

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Tackling Racial Bias in Automated Online Hate Detection: Towards Fair and Accurate Classification of Hateful Online Users Using Geometric Deep Learning

Mar 22, 2021
Zo Ahmed, Bertie Vidgen, Scott A. Hale

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Learning from the Worst: Dynamically Generated Datasets to Improve Online Hate Detection

Dec 31, 2020
Bertie Vidgen, Tristan Thrush, Zeerak Waseem, Douwe Kiela

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Detecting East Asian Prejudice on Social Media

May 08, 2020
Bertie Vidgen, Austin Botelho, David Broniatowski, Ella Guest, Matthew Hall, Helen Margetts, Rebekah Tromble, Zeerak Waseem, Scott Hale

* 12 pages 

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Directions in Abusive Language Training Data: Garbage In, Garbage Out

Apr 06, 2020
Bertie Vidgen, Leon Derczynski

* 26 pages, 5 figures 

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Detecting weak and strong Islamophobic hate speech on social media

Dec 12, 2018
Bertie Vidgen, Taha Yasseri

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