Overview

Cyberbullying is a pervasive global issue that threatens mental health, particularly among young people, with alarming rates of victimization. Emerging technologies like generative AI offer powerful tools to detect, prevent, and mitigate harmful online behavior, addressing this critical societal challenge. The use of machine learning and natural language processing enables early identification of offensive content, though ethical considerations and privacy concerns remain vital. Advancing AI-driven solutions to combat cyberbullying has the potential to create safer digital environments, fostering well-being and inclusivity online. These efforts not only bridge a significant research gap but also empower stakeholders to develop responsible, effective strategies against online abuse. Combating Cyberbullying with Generative AI emphasizes the creative ability of generative AI to generate innovative solutions that are tailored to the issues faced in cyberbully detection. It presents case studies and practical examples that demonstrate effective merging of generative AI in cyberbullying space, providing readers with applicable knowledge and motivation to implement these technologies in their situations. Covering topics such as creativity, intelligent systems, and social platforms, this book is an excellent resource for scholars, researchers, professionals, practitioners, and more.

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Kishor Kumar Reddy C. is currently working as Associate Professor, Dept. of Computer Science and Engineering, Stanley College of Engineering and Technology for Women, Hyderabad, India. He has research and teaching experience of more than 10 years. He has published more than 80 research papers in National and International Conferences, Book Chapters, and Journals indexed by Scopus and others. He is an author for 2 text books and 12 co-edited books. He acted as the special session chair for Springer FICTA 2020, 2022, SCI 2021, INDIA 2022 and IEEE ICCSEA 2020 conferences. He is the corresponding editor of AMSE 2021 conferences, published by IoP Science JPCS. He is the member of ISTE, CSI, IAENG, UACEE, IACSIT. Meetu Malhotra is working as Data Analytics Principal at S&P Global. She is also a research scholar, pursuing her PhD in Data Science from Harrisburg University of Science and Technology, PA. She has 16+ years of experience in data science, Machine Learning, and software development. She earned her Master’s degree in Data Science and Business Analytics from the University of North Carolina Charlotte. She has been a member of honor society of phiKappaPhi, IEEE, ACM and StemUp network. She is actively involved in publishing papers, book chapters, peer-reviewing papers, and chapters for reputed journals and conferences. Meetu has expertise in developing Machine Learning algorithms, NLP, Time Series and GenAI. Mariya Ouaissa is currently a Professor in Cybersecurity and Networks at Faculty of Sciences Semlalia, Cadi Ayyad University, Marrakech, Morocco. She is a Ph.D. graduated in 2019 in Computer Science and Networks, at the Laboratory of Modelisation of Mathematics and Computer Science from ENSAM-Moulay Ismail University, Meknes, Morocco. She is a Networks and Telecoms Engineer, graduated in 2013 from National School of Applied Sciences Khouribga, Morocco. She is a Co-Founder and IT Consultant at IT Support and Consulting Center. She was working for School of Technology of Meknes Morocco as a Visiting Professor from 2013 to 2021. She is member of the International Association of Engineers and International Association of Online Engineering, and since 2021, she is an “ACM Professional Member”. She is Expert Reviewer with Academic Exchange Information Centre (AEIC) and Brand Ambassador with Bentham Science. She has served and continues to serve on technical program and organizer committees of several conferences and events and has organized many Symposiums/Workshops/Conferences as a General Chair also as a reviewer of numerous international journals. Dr. Ouaissa has made contributions in the fields of information security and privacy, Internet of Things security, and wireless and constrained networks security. Her main research topics are IoT, M2M, D2D, WSN, Cellular Networks, and Vehicular Networks. She has published over 50 papers (book chapters, international journals, and conferences/workshops), 12 edited books, and 8 special issue as guest editor Marlia Mohd Hanafiah is a Professor and Head, Centre for Tropical Climate Change System, Institute of Climate Change, The National University of Malaysia, Malaysia. Areas of Research Expertise: Life Cycle Impact Assessment (LCA) and Environmental Foot printing of Green Materials and Energy • Environmental Engineering • Wastewater Treatment & Water Management • Green Technology & Sustainability. She has a total academic teaching experience of 15+ years with more than 100 publications in reputed international conferences, journals and online book chapter contributions (Indexed By: SCI, SCIE, SSCI, Scopus, DBLP). She received research grant and consultation (as project leader & team member) of RM 7,284,719.00 Mohammed Shuaib , recognized in the World's Top 2% Scientists Ranking 2024 (by Stanford University), specializes in blockchain, IoT, cybersecurity, and machine learning applications in engineering. He holds a PhD in Computer Engineering from Universiti Teknologi Malaysia (UTM). With an h-index of 26, over 1750 citations, and 4 patents, Dr. Shuaib is a prolific researcher with more than 58 publications in ISI-ranked and Scopus-indexed journals, alongside 25 conference papers. His expertise spans machine learning, AI-driven optimizations, and sustainable development, with a focus on applying AI techniques such as artificial neural networks (ANN), adaptive neuro-fuzzy inference systems (ANFIS), and reinforcement learning (RL) across engineering disciplines. Dr. Shuaib's editorial experience includes serving as Associate Editor for Sustainable Computing: Informatics and Systems (Elsevier) and contributing to editorial boards of journals like PLOS ONE, Wiley, IAES, IGI Global, and Discover Internet of Things (Springer). His editorial roles, coupled with his membership in professional organizations such as IEEE, ACM, and IAENG, highlight his leadership in advancing research in his areas of expertise.

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