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Stronger Together: Unleashing the Social Impact of Hate Speech Research

arXiv 2505.13251 ↗First posted 19 May 2025cs.CLcited by 0

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Abstract (arXiv)

The advent of the internet has been both a blessing and a curse for once marginalised communities. When used well, the internet can be used to connect and establish communities crossing different intersections; however, it can also be used as a tool to alienate people and communities as well as perpetuate hate, misinformation, and disinformation especially on social media platforms. We propose steering hate speech research and researchers away from pre-existing computational solutions and consider social methods to inform social solutions to address this social problem. In a similar way linguistics research can inform language planning policy, linguists should apply what we know about language and society to mitigate some of the emergent risks and dangers of anti-social behaviour in digital spaces. We argue linguists and NLP researchers can play a principle role in unleashing the social impact potential of linguistics research working alongside communities, advocates, activists, and policymakers to enable equitable digital inclusion and to close the digital divide.

Key facts. No citing papers in the map yet (data through 14 Oct 2026). Builds on 9 of its 34 references that are in the map. First posted on arXiv 19 May 2025.

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References · 9

  1. 2019RoBERTa: A Robustly Optimized BERT Pretraining Approachcited by 13,372
  2. 2017Automated Hate Speech Detection and the Problem of Offensive Languagecited by 736
  3. 2018Large Scale Crowdsourcing and Characterization of Twitter Abusive Behaviorcited by 270
  4. 2019Racial Bias in Hate Speech and Abusive Language Detection Datasetscited by 209
  5. 2016Demographic Dialectal Variation in Social Media: A Case Study of African-American Englishcited by 196
  6. 2020Directions in Abusive Language Training Data: Garbage In, Garbage Outcited by 140
  7. 2020Mapping Languages: The Corpus of Global Language Usecited by 42
  8. 2021A systematic review of Hate Speech automatic detection using Natural Language Processingcited by 27
  9. 2023Cross-Cultural Transfer Learning for Chinese Offensive Language Detectioncited by 21

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