Inhaltsangabe
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.
Über die Autorinnen und Autoren
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 an Assistant Professor in Cybersecurity and Networks at Cadi Ayyad University and practitioner with industry and academic experience. She is a Ph.D. graduated in 2019 in Computer Science and Networks 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 70 papers (book chapters, international journals, and conferences/workshops), 25 edited books, 1 authored book, and 10 special issue as guest editor.
Marlia Mohd Hanafiah is a Professor and Head of Centre of Tropical Climate Change System, Institute of Climate Change, UKM.
Dr. Mohammed Shuaib is an Assistant Professor at Jazan University, Saudi Arabia, with over 11 years of academic experience. . His international experience includes a visiting research position at INTI International University, Malaysia. Dr. Shuaib’s research achievements include 65 peer-reviewed publications in high-impact journals like Elsevier, Springer, and IEEE Access, four patents, and an H-index of 26 with over 1860 citations. He was recognized among the World's Top 2% Scientists by Stanford University in 2024. In addition to research, Dr. Shuaib currently serves as an Associate Editor for Sustainable Computing: Informatics and Systems (Elsevier) and the International Journal of Electrical and Computer Engineering (IAES). He also serves as an Academic Editor for PLOS ONE and the International Journal of RF and Microwave Computer-Aided Engineering (Wiley). Moreover, he is on the editorial boards of Mobile Information Systems (Wiley), Discover Internet of Things (Springer), Journal of Economy and Technology (Elsevier), and International Journal of Information Technology and Web Engineering (IGI Global). These journals are indexed in top databases such as ISI, Web of Science, and Scopus. Currently, he holds editorial roles as follows: 1. Associate Editor, Sustainable Computing: Informatics and Systems, Elsevier. 2. Editor Board member, “Journal of Economy and Technology ” Elsevier. 3. Academic Editor in Hindawi, International Journal of RF and Microwave Computer-Aided 4. Academic Editor in PLOS ONE Journal 5. Academic Editor in PLOS COMPLEX SYSTEMS Journal
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