Cyberbullying

Abstract

This chapter includes a literature review of the studies on cyberbullying in the last quarter century. In this direction, firstly, key concepts related to cyberbullying are explained in order to create a substructure for the understanding of the concept. Then, the concept of traditional bullying is explained within a conceptual evaluation. The concept of cyberbullying has been evaluated in detail with its definition, basic features, reasons, tools, types, and roles. A comparison was made between bullying and cyberbullying, and similarities and differences were revealed. Finally, a general conclusion was made based on the results of the research conducted around the world in the last quarter. The results reveal that cyberbullying is an increasing problem and is spreading uncertainly in almost every country.

Deep Learning Algorithms for Cyber-Bulling Detection in Social Media Platforms

“…The model was implemented and trained as a sequential type using Keras and Python. Keras is an advanced neural network API that integrates with the Tensor Flow opensource machine learning framework [18]. This research utilized the Natural Language Toolkit (NLTK), which is widely popular and recognized as one of the prominent NLP libraries within the Python ecosystem.…”