Tackling Cyberbullying with Generative AI, Gebunden
Tackling Cyberbullying with Generative AI
- From Theory to Practice
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- Herausgeber:
- Mohamed Lahby, Yassine Maleh, Youssef Baddi
- Verlag:
- Taylor & Francis Ltd, 11/2026
- Einband:
- Gebunden
- Sprache:
- Englisch
- ISBN-13:
- 9781041102021
- Artikelnummer:
- 12830587
- Umfang:
- 336 Seiten
- Erscheinungstermin:
- 24.11.2026
- Hinweis
-
Achtung: Artikel ist nicht in deutscher Sprache!
Klappentext
The rapid advancement of Generative AI (GenAI) is revolutionizing fields such as education, transportation, healthcare, finance, and cybersecurity. Within the cybersecurity domain, cyberbullying has emerged as a pervasive form of online harassment across digital media platforms, manifesting in various forms including racism, terrorism, and trolling. As GenAI models grow increasingly sophisticated, they are being exploited for harmful purposes, enabling cyberbullying content to spread more rapidly and widely than ever before. This book addresses this critical challenge by exploring the positive potential of Generative AI and demonstrating how it can be harnessed to combat cyberbullying and fake news across diverse digital platforms.
Key Features:
Comprehensive overview of Generative AI and its complex relationship with cyberbullying phenomena
Practical frameworks and methodologies for utilizing Generative AI to detect and prevent cyberbullying
In-depth exploration of technological advancements in the detection and analysis of abusive online behavior
Real-world case studies showcasing adaptive AI solutions for identifying harmful content
Insights into automated systems that can revolutionize the prevention and mitigation of cyberbullying
This book serves as an essential resource for researchers, cybersecurity professionals, AI practitioners, policymakers, and educators seeking to understand and leverage Generative AI in the fight against online harassment. Readers will gain valuable knowledge on how cutting-edge AI technologies can transform the detection of abusive behavior, automate the identification of harmful content, and provide scalable solutions to prevent the spread of cyberbullying across digital ecosystems.