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Handling and Presenting Harmful Text in NLP Research
16 references·0 citing·49 second hop
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References

  • 2021On the Opportunities and Risks of Foundation Models2,670 cited
  • 2019Model Cards for Model Reporting2,653 cited
  • 2007A phenomenology of whiteness2,137 cited
  • 2020Race after technology. Abolitionist tools for the new Jim Code1,870 cited
  • 2018Prior exposure increases perceived accuracy of fake news.1,264 cited
  • 2018Data Statements for Natural Language Processing: Toward Mitigating System Bias and Enabling Better Science840 cited
  • 2021“Everyone wants to do the model work, not the data work”: Data Cascades in High-Stakes AI774 cited
  • 2016Analysing How People Orient to and Spread Rumours in Social Media by Looking at Conversational Threads722 cited
  • 2021Algorithmic injustice: a relational ethics approach705 cited
  • 2020Data and its (dis)contents: A survey of dataset development and use in machine learning research519 cited
  • 2017Spreadable Spectacle in Digital Culture: Civic Expression, Fake News, and the Role of Media Literacies in “Post-Fact” Society497 cited
  • 2021Ethical and social risks of harm from Language Models477 cited
  • 2016Anger, Fear, and Games: The Long Event of #GamerGate300 cited
  • 2021Large image datasets: A pyrrhic win for computer vision?258 cited
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Evidencing the harms of hate speech
211 cited
  • 2020SemEval-2020 Task 11: Detection of Propaganda Techniques in News Articles202 cited
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