Alternative Speech: Complementary Method to Counter-Narrative for Better Discourse
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Abstract (arXiv)
We introduce the concept of "Alternative Speech" as a new way to directly combat hate speech and complement the limitations of counter-narrative. An alternative speech provides practical alternatives to hate speech in real-world scenarios by offering speech-level corrections to speakers while considering the surrounding context and promoting speakers to reform. Further, an alternative speech can combat hate speech alongside counter-narratives, offering a useful tool to address social issues such as racial discrimination and gender inequality. We propose the new concept and provide detailed guidelines for constructing the necessary dataset. Through discussion, we demonstrate that combining alternative speech and counter-narrative can be a more effective strategy for combating hate speech by complementing specificity and guiding capacity of counter-narrative. This paper presents another perspective for dealing with hate speech, offering viable remedies to complement the constraints of current approaches to mitigating harmful bias.
Key facts. Cited by 1 paper in the map (data through 7 Oct 2026). Builds on 11 of its 20 references that are in the map. First posted on arXiv 26 Jan 2024.
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11 of 20 references.
References · 11
- 2020HateXplain: A Benchmark Dataset for Explainable Hate Speech Detectioncited by 403
- 2020HateBERT: Retraining BERT for Abusive Language Detection in Englishcited by 206
- 2019CONAN -- COunter NArratives through Nichesourcing: a Multilingual Dataset of Responses to Fight Online Hate Speechcited by 109
- 2021Human-in-the-Loop for Data Collection: a Multi-Target Counter Narrative Dataset to Fight Online Hate Speechcited by 81
- 2020Generating Counter Narratives against Online Hate Speech: Data and Strategiescited by 58
- 2022Multilingual HateCheck: Functional Tests for Multilingual Hate Speech Detection Modelscited by 51
- 2021Towards Knowledge-Grounded Counter Narrative Generation for Hate Speechcited by 41
- 2022Human-Machine Collaboration Approaches to Build a Dialogue Dataset for Hate Speech Counteringcited by 40
- 2021Your fairness may vary: Pretrained language model fairness in toxic text classificationcited by 38
- 2022ToKen: Task Decomposition and Knowledge Infusion for Few-Shot Hate Speech Detectioncited by 15
- 2022Data-Efficient Strategies for Expanding Hate Speech Detection into Under-Resourced Languagescited by 7
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