Rapid advancements in mobile computing and communication technology and recent technological progress have opened up a plethora of opportunities. These advancements have expanded knowledge, facilitated global business, enhanced collaboration, and connected people through various digital media platforms. While these virtual platforms have provided new avenues for communication and self-expression, they also pose significant threats to our privacy. As a result, we must remain vigilant against the propagation of electronic violence through social networks. Cyberbullying has emerged as a particularly concerning form of online harassment and bullying, with instances of racism, terrorism, and various types of trolling becoming increasingly prevalent worldwide.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, artificial intelligence (AI) can serve as a valuable tool in combating the diverse manifestations of cyberbullying on the Internet and social networks. This book presents the latest cutting-edge research, theoretical methods, and novel applications in AI techniques to combat cyberbullying. Discussing new models, practical solutions, and technological advances related to detecting and analyzing cyberbullying is based on AI models and other related techniques. Furthermore, the book helps readers understand AI techniques to combat cyberbullying systematically and forthrightly, as well as future insights and the societal and technical aspects of natural language processing (NLP)-based cyberbullying research efforts.Key Features:Proposes new models, practical solutions and technological advances related to machine intelligence techniques for detecting cyberbullying across multiple social media platforms.Combines both theory and practice so that readers (beginners or experts) of this book can find both a description of the concepts and context related to the machine intelligence.Includes many case studies and applications of machine intelligence for combating cyberbullying.
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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.
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Preface................................................................................................................Part 1: Background1. Deep Learning as a digital tool for the detection and prevention of cyberbullyingRenzo Seminario-Córdova, Miguel Ángel Cortez Oyola and Brian Chero Arana2. Detection and Prevention of Cyberbullying in Social Media Using Cognitive Computational AnalysisNeha M V et al3. Combating Cyberbullying in Social Networks: An Artificial Intelligence ApproachSheetal Sharma and Ridhika Chatterjee4. Explainable Artificial Intelligence for Cyberbullying Detection and Prevention in Social Media: A Conceptual ReviewNipuna Sankalpa ThalpagePart 2: Machine Learning Techniques and Cyberbullying Detection5. Combating Cyberbullying in Various Digital Media using Machine LearningBiodoumoye George Bokoloa, Qingzhong Liua and Qingzhong Liua6. Cyber-bullying Detection for Multimodal Data convolutional neural network with Butterfly OptimizationKalimuthu Sivanantham et al7. Automated detection and analysis of cyberbullying behavior using Machine learningRejuwan Shamim and Mohamed LahbyPart 3: Natural Language Processing (NLP) and Cyberbullying Detection8. A Sentiment-Aware Statistical Evaluation of Vawulence Tweets for Cyberbullying AnalyticsSegun Michael Akintunde et al9. Identifying Behaviours and Characteristics of Social Media Sexual Harassment on LinkedIn for AI NLP PurposesKarim Darban and Smail Kabbaj10. Arabic offensive language and hate speech detection using ensemble transformers and data augmentationIbtissam TouahriPart 4: Case Studies and Future Trends11. Cyberbullying Prevention Practices on Social Media and Future ChallengesM. Zaenul Muttaqin et al12. Methods of Complex Network Analysis to screen for CyberbullyingSanthosh Kumar Rajamani and Radha Srinivasan Iyer13. Cyberbullying and Social Media: Implications for African Digital SpaceBasil Osayin Daudu, Goddy Uwa Osimen and Kennedy Shuaibu14. A study on the impact of Social Media & Cyber Bullying on teen girls in IndiaSwapna M P and Dr. G Satyavathy
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Produktdetaljer

ISBN
9781032491882
Publisert
2023-12-13
Utgiver
Vendor
Chapman & Hall/CRC
Vekt
620 gr
Høyde
234 mm
Bredde
156 mm
Aldersnivå
U, P, 05, 06
Språk
Product language
Engelsk
Format
Product format
Innbundet
Antall sider
284

Biographical note

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.