AI-Based Cyberbullying Detection Techniques and Strategies
Laya Billinty Varra, Thakur Monika Singh, C. Kishor Kumar Reddy, Kari J. Lippert · Advances in social networking and online communities book series · 2025
Cyberbullying has become a very significant issue in today's digital age, and its victims are spread over all the online platforms. This chapter focuses on how Artificial Intelligence is transforming the fight against cyberbullying. It discusses the cutting-edge techniques and strategies used to detect harmful behavior online, harnessing the power of natural language processing (NLP), machine learning, and deep learning. The chapter explains how AI systems process text, images, and multimedia content to detect abusive or harmful interactions. It discusses some of the key challenges such as limitations in the dataset, bias in the algorithms, and the requirement for real-time detection. Further, the chapter focuses on innovative approaches that can be used for improving the accuracy and scalability of detection systems while simultaneously addressing critical ethical and privacy concerns. With the integration of technology and careful strategies, this chapter predicts a safer and more inclusive digital space for all.