Addressing the issue of Cyberbullying to find effective solutions is a challenge for the web mining community, particularly within the realm of social media. In this context AI is as a valuable tool in combating the diverse manifestations of Cyberbullying on the internet and social networks.

Mohamed Lahby is Associate Professor at the Higher Normal School (ENS) University Hassan II of Casablanca, Morocco. His PhD in Computer Science from University Hassan II of Casablanca, in 2013. His research interests are smart cities and machine learning. He has published more than 50 papers.

Al-Sakib Khan Pathan is currently a Professor at the CSE department, United International University (UIU), Bangladesh. He received Ph.D. in Computer Engineering (2009) from Kyung Hee University, South Korea and B.Sc. in Computer Science and Information Technology (2003) from Islamic University of Technology (IUT), Bangladesh. He has served as a Chair and Committee Member in numerous top-ranked conferences and in editorial roles of several renowned journals. He is a Senior Member of IEEE.

Yassine Maleh is a cybersecurity professor and practitioner with industry and academic experience. He received a Ph.D. degree in Computer Sciences. Since 2019, he has been working as a professor of cybersecurity at Sultan Moulay Slimane University, Morocco. He was a Former CISO at the National Port Agency, Morocco, between 2012 and 2019. His research interests include information security and privacy, Internet of Things, networks security, information system, and IT governance.

Preface................................................................................................................

Part 1: Background

1. Deep Learning as a digital tool for the detection and prevention of cyberbullying
Renzo Seminario-Córdova, Miguel Ángel Cortez Oyola and Brian Chero Arana

2.Detection and Prevention of Cyberbullying in Social Media Using Cognitive Computational Analysis
Neha M V et al

3Combating Cyberbullying in Social Networks: An Artificial Intelligence Approach
Sheetal Sharma and Ridhika Chatterjee

4. Explainable Artificial Intelligence for Cyberbullying Detection and Prevention in Social Media: A Conceptual Review

Part 2: Machine Learning Techniques and Cyberbullying Detection

5. Combating Cyberbullying in Various Digital Media using Machine Learning
Biodoumoye George Bokoloa, Qingzhong Liua and Qingzhong Liua

6. Cyber-bullying Detection for Multimodal Data convolutional neural network with Butterfly Optimization
Kalimuthu Sivanantham et al

7. Automated detection and analysis of cyberbullying behavior using Machine learning
Rejuwan Shamim and Mohamed Lahby

Part 3: Natural Language Processing (NLP) and Cyberbullying Detection

8. A Sentiment-Aware Statistical Evaluation of Vawulence Tweets for Cyberbullying Analytics
Segun Michael Akintunde et al

9. Identifying Behaviours and Characteristics of Social Media Sexual Harassment on LinkedIn for AI NLP Purposes
Karim Darban and Smail Kabbaj

10. Arabic offensive language and hate speech detection using ensemble transformers and data augmentation
Ibtissam Touahri

Part 4: Case Studies and Future Trends

11. Cyberbullying Prevention Practices on Social Media and Future Challenges
M. Zaenul Muttaqin et al

12. Methods of Complex Network Analysis to screen for Cyberbullying
Santhosh Kumar Rajamani and Radha Srinivasan Iyer

13. Cyberbullying and Social Media: Implications for African Digital Space
Basil Osayin Daudu, Goddy Uwa Osimen and Kennedy Shuaibu

14. A study on the impact of Social Media & Cyber Bullying on teen girls in India
Swapna M P and Dr. G Satyavathy