Combatting Cyberbullying in Digital Media with Artificial Intelligence 1st Edition

Capture the urgent challenge of online harm with Combatting Cyberbullying in Digital Media with Artificial Intelligence, 1st Edition by Mohamed Lahby. This timely guide combines cutting-edge AI methodologies with real-world insights to help researchers, educators, policymakers, and tech professionals confront cyberbullying across social media, forums, and messaging platforms.

Beginning with clear context on the scale and patterns of digital harassment worldwide, the book moves quickly into practical AI-driven strategies: natural language processing for abuse detection, multimodal analysis for image and video moderation, machine learning pipelines for scalable deployment, and human-in-the-loop frameworks that respect ethics and privacy. Case studies and regional examples make the content GEO-aware and relevant to readers in North America, Europe, Asia, and beyond.

Whether you’re designing safer online communities, drafting policy, or building moderation tools, you’ll find actionable frameworks, evaluation metrics, and implementation checklists that demystify complex technical approaches. The narrative balances theory and practice—explaining algorithms in accessible language while maintaining academic rigor—so both technical and non-technical audiences gain immediate value.

Read this book to sharpen your understanding of how AI can reduce harm without eroding free expression, to learn best practices for cross-cultural moderation, and to adopt responsible design principles that scale globally. Engaging, authoritative, and solution-focused, Combatting Cyberbullying in Digital Media with Artificial Intelligence equips you with the knowledge to make digital spaces safer today.

Add this essential resource by Mohamed Lahby to your professional library—order your copy now and lead the effort to protect communities in the digital age.

Note: eBooks do not include supplementary materials such as CDs, access codes, etc.