Detecting Hate Speech in Human and AI-Generated Content : Techniques, Bias Mitigation, and Ethical Considerations

Language: English

Published by IGI GLOBAL SCIENTIFIC PUBLISHING, 2025

9798337330631

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Seller: AHA-BUCH GmbH, Einbeck, GermanyAHA-BUCH GmbH

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nach der Bestellung gedruckt Neuware - Printed after ordering - As digital communication becomes increasingly pervasive, the detection of hate speech in both human and AI-generated content has emerged as a critical concern for online safety. The use of harmful language across social media platforms and content generated by language models poses significant challenges in identifying toxic discourse. Traditional moderation methods often fall short in recognizing nuances prompting the integration of machine learning and natural language processing techniques to enhance detection accuracy. This evolving field underscores the need for robust systems capable of distinguishing between free expression and harmful language in this era. Detecting Hate Speech in Human and AI-Generated Content: Techniques, Bias Mitigation, and Ethical Considerations addresses the pressing challenge of hate speech detection across both AI-generated and human-generated content. It fills a crucial gap, providing a dual-focused approach to detect and manage hate speech effectively in this new, mixed-content landscape. Covering topics such as deepfakes, moderation, and social media, this book is an excellent resource for researchers, academicians, students, policymakers, and more.

Seller Inventory # 9798337330631

Title
Detecting Hate Speech in Human and AI-Generated Content : Techniques, Bias Mitigation, and Ethical Considerations
Author
Ruchi Doshi
Publisher
IGI GLOBAL SCIENTIFIC PUBLISHING
Publication year
2025
Condition
Neu
Binding
Buch
Language
English
ISBN 13
9798337330631
Item weight
1,061 grams
Dimensions
260x183x29 mm

AHA-BUCH GmbH

Einbeck, Germany

5-star seller

AbeBooks seller since August 14, 2006

Shipping rates from Germany to U.S.A.

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First itemUS$ 44.10US$ 50.27
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