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Tackling Cyberbullying with Generative AI: From Theory to Practice

Edited by Mohamed Lahby, Edited by Youssef Baddi, Edited by Yassine Maleh

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normal price: R 5 033.95

Price: R 4 530.95

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| book description |

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: â€¢ Comprehensive overview of Generative AI and its complex relationship with cyberbullying phenomena â€¢ Practical frameworks and methodologies for utilizing Generative AI to detect and prevent cyberbullying â€¢ In-depth exploration of technological advancements in the detection and analysis of abusive online behavior â€¢ Real-world case studies showcasing adaptive AI solutions for identifying harmful content â€¢ 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.