rdf-syntax-grammar
mods:
  schema location: http://www.loc.gov/mods/v3 http://www.loc.gov/standards/mods/v3/mods-3-2.xsd
  title info:
    title: Detecting hate speech in human and AI-generated content
    sub title: techniques, bias mitigation, and ethical considerations
  title info:
    title: Detecting hate speech in human and artificial intelligence-generated content
  name:
    name part: Arsalan, Mohammad
    name part: 1986-
    role:
      role term: editor.
  name:
    name part: Mahrishi, Mehul
    name part: 1986-
    role:
      role term: editor.
  name:
    name part: Doshi, Ruchi
    role:
      role term: editor.
  name:
    name part: Jain, Archika
    name part: 1992-
    role:
      role term: editor.
  name:
    name part: Goswami, Chandrashekhar
    name part: 1983-
    role:
      role term: editor.
  name:
    name part: IGI Global
    role:
      role term: publisher.
  type of resource: text
  genre: bibliography
  genre: Electronic books.
  origin info:
    place:
      place term: pau
    date issued: 2026
    issuance: monographic
  language:
    language term: eng
  physical description:
    form: remote
    extent: 1 online resource (21 PDFs (464 pages))
  abstract: "The purpose of this book is to tackle the pressing challenge of hate speech detection across both AI-generated and human-generated content"-- Provided by publisher.
  table of contents: Preface -- Acknowledgment -- Chapter 1. Exploring the Metaverse: The Future of Architecture and Hate Speech Moderation in Virtual Spaces -- Chapter 2. Detecting Hate Speech: Human and AI-Generated Content -- Chapter 3. A Lightweight Content-Based News Recommendation System Using TF-IDF and Cosine Similarity -- Chapter 4. Algorithms Evaluation and Challenges in Automated Hate Speech Detection for Generative AI -- Chapter 5. Bibliometric Analysis on the Role of Artificial Intelligence in Hate Speech and Policy Formulation: Enhancing Evidence-Based Decision-Making in Research Institutions -- Chapter 6. AI-Generated Hate Speech Detection -- Chapter 7. Highlighting the Challenges of Bias and Fairness in Hate Speech Detection -- Chapter 8. Exploring Hate Speech Classification in Low-Resource Languages: A Comprehensive Review -- Chapter 9. Real-Time Hate Speech Detection API: A Scalable Deep Learning Approach -- Chapter 10. Deepfake Technology and the Quagmire of Artificial Intelligence: An Analysis of National and International Legal Frameworks -- Chapter 11. Aspect-Based Opinion Mining: A Framework for Spam and Ham Review Detection -- Chapter 12. Deep Learning and NLP Methods for Automated Hate Speech Detection Across Human and Machine-Generated Content -- Chapter 13. Techniques for Detecting Hate Speech in AI and Human-Generated Content -- Chapter 14. Machine Learning Models for Automated Hate Speech Detection in Synthetic Content -- Compilation of References -- About the Contributors -- Index.
  target audience: specialized
  note: [edited by] Mohammad Arsalan, Mehul Mahrishi, Ruchi Doshi, Archika Jain, Chandrashekhar Goswami.
  note: Includes bibliographic references and index.
  subject:
    topic: Online hate speech
    topic: Data processing
  subject:
    topic: Artificial intelligence
  subject:
    topic: Intelligence artificielle
  subject:
    topic: artificial intelligence
  subject:
    topic: Artificial Intelligence (AI)
  subject:
    topic: Bias Mitigation.
  subject:
    topic: Deepfakes.
  subject:
    topic: Emotion Detection.
  subject:
    topic: Hate Speech.
  subject:
    topic: Human-Generated Content.
  subject:
    topic: Intent Detection.
  subject:
    topic: Machine Learning (ML)
  subject:
    topic: Moderation.
  subject:
    topic: Natural Language Processing (NLP)
  subject:
    topic: Online Communities.
  subject:
    topic: Opinion Mining.
  subject:
    topic: Policy Formation.
  subject:
    topic: Social Media.
  classification: HM851 .D47766 2026
  classification: 303.4833
  identifier: 9798337330655 (electronic bk.)
  identifier: 9798337330631
  location:
    physical location: POD
  record info:
    record content source: IGIGL
    record creation date: 251110
    record change date: 20260214184039.7
    record identifier: in00005688079
    language of cataloging:
      language term: eng