Within the evolving landscape of the virtual age, the pervasive nature of
technology has revolutionized the way we speak, join, and share statistics. At the same
time that the internet has introduced remarkable possibilities for global interaction, it
has also given rise to new challenges, with cyberbullying becoming a significant issue.
The increasing incidence of online harassment, intimidation, and abuse necessitates
innovative answers to shield people inside the virtual realm. AI can play a vital role in
cyberbullying prevention by supporting the identification, monitoring, and response to
instances of online harassment. The objective of this chapter is to automate the spotting
of cyberbullying on social networks. The massive quantity of facts available makes
individualistic monitoring for cyber harassment unfeasible. Automated flagging of
signs of cyberharassment could significantly reduce response times, making social
networks a safer place for sharing ideas, views, opinions, and interaction for people
from all backgrounds. This report examines the transformative role of Artificial
Intelligence (AI) in preventing and mitigating cyberbullying, exploring the potential of
cutting-edge technologies to create safer online spaces through Natural Language
Processing (NLP), Recurrent Neural Networks (RNN), and other methodologies.
Keywords: AI (Artificial Intelligence), Backpropagation, Cyberbullying, Data Collection, Language Processing, Machine Learning, Monitoring, Neural Networks, Online harassment, Sentiment analysis, Social networks, Swan Optimization.
