Detecting hate speech in human and AI-generated content : techniques, bias mitigation, and ethical considerations /

Bibliographic Details
Other Authors:	Arsalan, Mohammad, 1986- (Editor), Mahrishi, Mehul, 1986- (Editor), Doshi, Ruchi (Editor), Jain, Archika, 1992- (Editor), Goswami, Chandrashekhar, 1983- (Editor)
Format:	eBook
Language:	English
Published:	Hershey, Pennsylvania (701 E. Chocolate Avenue, Hershey, Pennsylvania, 17033, USA) : IGI Global Scientific Publishing, [2026]
Subjects:	Online hate speech > Data processing. Artificial intelligence. Intelligence artificielle. artificial intelligence. Artificial Intelligence (AI) Bias Mitigation. Deepfakes. Emotion Detection. Hate Speech. Human-Generated Content. Intent Detection. Machine Learning (ML) Moderation. Natural Language Processing (NLP) Online Communities. Opinion Mining. Policy Formation. Social Media. Electronic books.

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.