# Hate Speech and Cyberbullying Detection

{
  "id": "T12262",
  "title": "Hate Speech and Cyberbullying Detection",
  "url": "/topics/T12262",
  "kind": "topic-directory",
  "aeo_cohort": "topic-directory",
  "provider": "openalex",
  "revision": "f5b7b061b67ad5b0",
  "catalogue_revision": "f050b5d4780b1289",
  "numeric_address": "36183591008472275",
  "address_version": "morton4x16-v1",
  "coordinates": [
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    17,
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    12262
  ],
  "answer_status": "Directory metadata; local answer requires separate source review",
  "truth_status": "Subject descriptor, not a factual answer or a demonstrated knowledge gap"
}

This cluster of papers focuses on the automated detection of hate speech, offensive language, and cyberbullying in social media platforms such as Twitter. It explores various techniques including machine learning, natural language processing, and deep learning to identify and categorize abusive content, with a specific emphasis on mitigating online harassment and promoting online safety.

Directory metadata is not a factual answer or evidence of a global knowledge gap.

Source: https://openalex.org/T12262

No owner-reviewed local answer yet.