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What is the social benefit of hate speech detection research? A Systematic Review

arXiv 2409.17467 ↗First posted 26 Sep 2024cs.CLcited by 0

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Abstract (arXiv)

While NLP research into hate speech detection has grown exponentially in the last three decades, there has been minimal uptake or engagement from policy makers and non-profit organisations. We argue the absence of ethical frameworks have contributed to this rift between current practice and best practice. By adopting appropriate ethical frameworks, NLP researchers may enable the social impact potential of hate speech research. This position paper is informed by reviewing forty-eight hate speech detection systems associated with thirty-seven publications from different venues.

Key facts. No citing papers in the map yet (data through 7 Oct 2026). Builds on 24 of its 72 references that are in the map. First posted on arXiv 26 Sep 2024.

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24 of 72 references.

References · 24

  1. 2017Automated Hate Speech Detection and the Problem of Offensive Languagecited by 724
  2. 2019Predicting the Type and Target of Offensive Posts in Social Mediacited by 268
  3. 2018Large Scale Crowdsourcing and Characterization of Twitter Abusive Behaviorcited by 265
  4. 2016Ex Machina: Personal Attacks Seen at Scalecited by 208
  5. 2019Racial Bias in Hate Speech and Abusive Language Detection Datasetscited by 208
  6. 2018Hate Speech Dataset from a White Supremacy Forumcited by 196
  7. 2019Text Classification Algorithms: A Surveycited by 163
  8. 2020Directions in Abusive Language Training Data: Garbage In, Garbage Outcited by 139
  9. 2019Assessing Social and Intersectional Biases in Contextualized Word Representationscited by 134
  10. 2019Multilingual and Multi-Aspect Hate Speech Analysiscited by 133
  11. 2019A Benchmark Dataset for Learning to Intervene in Online Hate Speechcited by 128
  12. 2019CONAN -- COunter NArratives through Nichesourcing: a Multilingual Dataset of Responses to Fight Online Hate Speechcited by 109
12 more
  1. 2019Exploring Hate Speech Detection in Multimodal Publicationscited by 103
  2. 2017Measuring the Reliability of Hate Speech Annotations: The Case of the European Refugee Crisiscited by 95
  3. 2017Detecting Online Hate Speech Using Context Aware Modelscited by 72
  4. 2018Characterizing and Detecting Hateful Users on Twittercited by 55
  5. 2020Offensive Language Identification in Greekcited by 49
  6. 2019Offensive Language and Hate Speech Detection for Danishcited by 48
  7. 2018Aggression-annotated Corpus of Hindi-English Code-mixed Datacited by 40
  8. 2018Peer to Peer Hate: Hate Speech Instigators and Their Targetscited by 30
  9. 2020Classification Benchmarks for Under-resourced Bengali Language based on Multichannel Convolutional-LSTM Networkcited by 30
  10. 2021How Good Is NLP? A Sober Look at NLP Tasks through the Lens of Social Impactcited by 18
  11. 2018A Quality Type-aware Annotated Corpus and Lexicon for Harassment Researchcited by 11
  12. 2021Designing Language Technologies for Social Good: The Road not Takencited by 5

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