In the previous sections, the authors first explored how machine learning can be used to detect hate speech and later aimed to make the detection more explainable. This makes the moderation system is more reliable. In this section, the authors aim to understand what should be done once the authors detect hate speech.

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Mitigation

  • Punyajoy Saha,
  • Mithun Das,
  • Animesh Mukherjee

摘要

In the previous sections, the authors first explored how machine learning can be used to detect hate speech and later aimed to make the detection more explainable. This makes the moderation system is more reliable. In this section, the authors aim to understand what should be done once the authors detect hate speech.