Bertie Vidgen
Bertie Vidgen
Oxford, Turing
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Dynabench: Rethinking benchmarking in NLP
D Kiela, M Bartolo, Y Nie, D Kaushik, A Geiger, Z Wu, B Vidgen, G Prasad, ...
arXiv preprint arXiv:2104.14337, 2021
Directions in abusive language training data, a systematic review: Garbage in, garbage out
B Vidgen, L Derczynski
Plos one 15 (12), e0243300, 2020
Challenges and frontiers in abusive content detection
B Vidgen, A Harris, D Nguyen, R Tromble, S Hale, H Margetts
Proceedings of the third workshop on abusive language online, 2019
HateCheck: Functional tests for hate speech detection models
P Röttger, B Vidgen, D Nguyen, Z Waseem, H Margetts, JB Pierrehumbert
arXiv preprint arXiv:2012.15606, 2020
Detecting weak and strong Islamophobic hate speech on social media
B Vidgen, T Yasseri
Journal of Information Technology & Politics 17 (1), 66-78, 2020
P-Values: Misunderstood and Misused
B Vidgen, T Yasseri
Frontiers in Physics 4, 6, 2016
Learning from the worst: Dynamically generated datasets to improve online hate detection
B Vidgen, T Thrush, Z Waseem, D Kiela
arXiv preprint arXiv:2012.15761, 2020
Detecting East Asian prejudice on social media
B Vidgen, A Botelho, D Broniatowski, E Guest, M Hall, H Margetts, ...
arXiv preprint arXiv:2005.03909, 2020
Two contrasting data annotation paradigms for subjective NLP tasks
P Röttger, B Vidgen, D Hovy, JB Pierrehumbert
arXiv preprint arXiv:2112.07475, 2021
An expert annotated dataset for the detection of online misogyny
E Guest, B Vidgen, A Mittos, N Sastry, G Tyson, H Margetts
Proceedings of the 16th Conference of the European Chapter of the …, 2021
Introducing CAD: the contextual abuse dataset
B Vidgen, D Nguyen, H Margetts, P Rossini, R Tromble
SemEval-2023 Task 10: Explainable Detection of Online Sexism
HR Kirk, W Yin, B Vidgen, P Röttger
arXiv preprint arXiv:2303.04222, 2023
Recruitment and ongoing engagement in a UK smartphone study examining the association between weather and pain: cohort study
KL Druce, J McBeth, SN van der Veer, DA Selby, B Vidgen, K Georgatzis, ...
JMIR mHealth and uHealth 5 (11), e8162, 2017
How much online abuse is there
B Vidgen, H Margetts, A Harris
Alan Turing Institute 11, 2019
Understanding RT’s audiences: Exposure not endorsement for Twitter followers of Russian state-sponsored media
R Crilley, M Gillespie, B Vidgen, A Willis
The International Journal of Press/Politics 27 (1), 220-242, 2022
Hatemoji: A test suite and adversarially-generated dataset for benchmarking and detecting emoji-based hate
HR Kirk, B Vidgen, P Röttger, T Thrush, SA Hale
arXiv preprint arXiv:2108.05921, 2021
Personalisation within bounds: A risk taxonomy and policy framework for the alignment of large language models with personalised feedback
HR Kirk, B Vidgen, P Röttger, SA Hale
arXiv preprint arXiv:2303.05453, 2023
MULTILINGUAL HATECHECK: Functional Tests for Multilingual Hate Speech Detection Models
P Röttger, H Seelawi, D Nozza, Z Talat, B Vidgen
arXiv preprint arXiv:2206.09917, 2022
Handling and presenting harmful text in NLP research
H Kirk, A Birhane, B Vidgen, L Derczynski
Findings of the Association for Computational Linguistics: EMNLP 2022, 497-510, 2022
Islamophobes are not all the same! A study of far right actors on Twitter
B Vidgen, T Yasseri, H Margetts
Journal of Policing, Intelligence and Counter Terrorism, 2019
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