Cyberbullying Among Adolescents: An Effort Of Identification, Prevention and Intervention of Cyberbullying

Cyberbullying is a form of bullying or harassing which is done by sending aggressive messages to a person. It can be a humiliating photo or video, an unpleasant text message, or an intolerable comment on social media. Cyberbullying has divided into two types like Direct and Indirect cyberbullying. Direct cyberbullying is sending harmful material in the form of text, image, etc., to torture the victim directly. Indirect cyberbullying is when someone spreads the rumor about another person's life. In the existing technique, Direct and Indirect cyberbullying Identification of User Character (IUC), Identification of Trustworthiness of the User (ITU) are detected using classifiers techniques from the Twitter dataset. This proposed technique is going to detect cyberbullying from direct, indirect cyberbullying techniques and to prevent the cyberbullying by reflective messages and also to recover the victims using depression technique. Along with existing technique, this proposed technique is going to detect depression from the cyberbully affected persons in order to recover from their depressive mood. The depression can be detected by using the following techniques, namely, Cognitive distortions, Depressive rumination, Content valence and Attitude towards others. This proposed technique also reduces the cyber harassment by showing the reflective messages to the harassing persons. The reflective message helps the users to reconsider and it prevents them from posting harmful messages. The reflective message is going to detect from the following techniques such as the potential audience, Disapproval by bystanders and Harm for the receiver.