Challenges and frontiers in abusive content detection
2019 · 193 citations
https://doi.org/10.18653/v1/w19-3509
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Bertie Vidgen
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80
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18
h-index
29
i10-index
Bertie Vidgen is an academic researcher from Contextual Change (United States). The author has contributed to research in topics: Hate Speech and Cyberbullying Detection & Social Media and Politics & Topic Modeling. The author has an h-index of 18, co-authored 68 publications.
Papers by this author
worksFindings of the WOAH 5 Shared Task on Fine Grained Hateful Memes Detection
2021 · 22 citations
https://doi.org/10.18653/v1/2021.woah-1.21
Tackling racial bias in automated online hate detection: Towards fair and accurate detection of hateful users with geometric deep learning
2022 · EPJ Data Science · 15 citations
https://doi.org/10.1140/epjds/s13688-022-00319-9
Recalibrating classifiers for interpretable abusive content detection
2020 · 9 citations
https://doi.org/10.18653/v1/2020.nlpcss-1.14
Neural steering vectors reveal dose and exposure-dependent impacts of human-AI relationships
2025 · ArXiv.org · 1 citations
https://doi.org/10.48550/arxiv.2512.01991
MSTS: A Multimodal Safety Test Suite for Vision-Language Models
2025 · ArXiv.org · 0 citations
https://doi.org/10.48550/arxiv.2501.10057
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