mlsanityData to 7 Oct 2026

A Weakly Supervised Classifier and Dataset of White Supremacist Language

arXiv 2306.15732 ↗First posted 27 Jun 2023cs.CLcited by 1

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Abstract (arXiv)

We present a dataset and classifier for detecting the language of white supremacist extremism, a growing issue in online hate speech. Our weakly supervised classifier is trained on large datasets of text from explicitly white supremacist domains paired with neutral and anti-racist data from similar domains. We demonstrate that this approach improves generalization performance to new domains. Incorporating anti-racist texts as counterexamples to white supremacist language mitigates bias.

Key facts. Cited by 1 paper in the map (data through 7 Oct 2026). Builds on 18 of its 79 references that are in the map. First posted on arXiv 27 Jun 2023.

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18 of 79 references.

References · 18

  1. 2019DistilBERT, a distilled version of BERT: smaller, faster, cheaper and lightercited by 4,243
  2. 2022BERTopic: Neural topic modeling with a class-based TF-IDF procedurecited by 779
  3. 2017Snorkel: Rapid Training Data Creation with Weak Supervisioncited by 370
  4. 2021Latent Hatred: A Benchmark for Understanding Implicit Hate Speechcited by 216
  5. 2020HateCheck: Functional Tests for Hate Speech Detection Modelscited by 215
  6. 2019Racial Bias in Hate Speech and Abusive Language Detection Datasetscited by 208
  7. 2018Hate Speech Dataset from a White Supremacy Forumcited by 196
  8. 2020Towards Accountability for Machine Learning Datasets: Practices from Software Engineering and Infrastructurecited by 138
  9. 2019A BERT-Based Transfer Learning Approach for Hate Speech Detection in Online Social Mediacited by 95
  10. 2021Self-Training with Weak Supervisioncited by 49
  11. 2021Disembodied Machine Learning: On the Illusion of Objectivity in NLPcited by 37
  12. 2020Raiders of the Lost Kek: 3.5 Years of Augmented 4chan Posts from the Politically Incorrect Boardcited by 24
6 more
  1. 2022How Hate Speech Varies by Target Identity: A Computational Analysiscited by 23
  2. 2020Detecting White Supremacist Hate Speech using Domain Specific Word Embedding with Deep Learning and BERTcited by 19
  3. 2022Reinforcement Guided Multi-Task Learning Framework for Low-Resource Stereotype Detectioncited by 7
  4. 2018Hierarchical CVAE for Fine-Grained Hate Speech Classificationcited by 6
  5. 2020A Bootstrapped Model to Detect Abuse and Intent in White Supremacist Corporacited by 2
  6. 2022AX-MABSA: A Framework for Extremely Weakly Supervised Multi-label Aspect Based Sentiment Analysiscited by 2

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