Bertie Vidgen
Bertie Vidgen
Head of Online Safety, The Alan Turing Institute
Verified email at - Homepage
Cited by
Cited by
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
Association for Computational Linguistics, 2019
P-Values: Misunderstood and Misused
B Vidgen, T Yasseri
Frontiers in Physics 4, 6, 2016
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
Detecting weak and strong Islamophobic hate speech on social media
B Vidgen, T Yasseri
Journal of Information Technology & Politics 17 (1), 66-78, 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
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
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
How much online abuse is there
B Vidgen, H Margetts, A Harris
Alan Turing Institute, 2019-11, 2019
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, K Toutanova, ...
Proceedings of the 2021 Conference of the North American Chapter of the …, 2021
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
What, when and where of petitions submitted to the UK government during a time of chaos
B Vidgen, T Yasseri
Policy Sciences 53 (3), 535-557, 2020
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
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
Recalibrating classifiers for interpretable abusive content detection
B Vidgen, S Hale, S Staton, T Melham, H Margetts, O Kammar, ...
Proceedings of the Fourth Workshop on Natural Language Processing and …, 2020
Online abuse and human rights: WOAH satellite session at RightsCon 2020
V Prabhakaran, Z Waseem, S Akiwowo, B Vidgen
Proceedings of the Fourth Workshop on Online Abuse and Harms, 1-6, 2020
Two Contrasting Data Annotation Paradigms for Subjective NLP Tasks
P Röttger, B Vidgen, D Hovy, JB Pierrehumbert
arXiv preprint arXiv:2112.07475, 2021
Findings of the WOAH 5 shared task on fine grained hateful memes detection
L Mathias, S Nie, AM Davani, D Kiela, V Prabhakaran, B Vidgen, ...
Proceedings of the 5th Workshop on Online Abuse and Harms (WOAH 2021), 201-206, 2021
Tackling racial bias in automated online hate detection: Towards fair and accurate classification of hateful online users using geometric deep learning
Z Ahmed, B Vidgen, SA Hale
arXiv preprint arXiv:2103.11806, 2021
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