图书简介
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 artificial intelligence techniques to combat cyberbullying. Discussing new models, practical solutions, and technological advances related to detecting and analyzing Cyberbullying is based on artificial intelligence models and other related techniques. Furthermore, the book helps readers understand artificial intelligence techniques to combat cyberbullying systematically and forthrightly, as well as future insights and the societal and technical aspects of NLP-based cyberbullying research efforts.
Preface................................................................................................................
Part 1: Background
1. Deep Learning as a Digital Tool for the Detection and Prevention of CyberbullyingRenzo Seminario-Co´rdova, Miguel A´ngel Cortez Oyola and Brian Chero Arana
2. Detection and Prevention of Cyberbullying in Social Media Using Cognitive Computational AnalysisNeha M. V., Sajan Muhammad, Indu V., and Sabu M. Thampi
3. Combating Cyberbullying in Social Networks: An Artificial Intelligence ApproachSheetal Sharma and Ridhika Chatterjee
4. Explainable Artificial Intelligence for Cyberbullying Detection and Prevention in Social Media: A Conceptual ReviewNipuna Sankalpa Thalpage
Part 2: Machine Learning Techniques and Cyberbullying Detection
5. Combating Cyberbullying in Various Digital Media Using Machine LearningBiodoumoye George Bokoloa and Qingzhong Liu
6. Cyber-Bullying Detection for Multimodal Data Convolutional Neural Network with Butterfly OptimizationKalimuthu Sivanantham, V. R. Vijaykumar, A. Krishnakumar, and M. Pradeepa
7. Automated Detection and Analysis of Cyberbullying Behavior Using Machine LearningRejuwan Shamim and Mohamed Lahby
Part 3: Natural Language Processing (NLP) and Cyberbullying Detection
8. A Sentiment-Aware Statistical Evaluation of Vawulence Tweets for Cyberbullying AnalyticsSegun Michael Akintunde, Ogobuchi Daniel Okey, Wilson C. Ahiara, Taiwo Olapeju Olaleye, and Olalekan Akinbosoye Okewale
9. Identifying Behaviors and Characteristics of Social Media Sexual Harassment on LinkedIn for AI NLP PurposesKarim Darban and Smail Kabbaj
10. Arabic Offensive Language and Hate Speech Detection Using Ensemble T
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