Application of cognitive psychology for countering bullying in social media
- MPhil CS 2018-2019
Online Social Media bullying is one of the major cyber-crimes spreading through dierent social media. Recently, many solutions have been proposed in the literature to address this crime. The present research mainly focuses on the detection of cyberbullying in online Social media. Only a few researchers have addressed the problem of preventing cyberbullying in social media. The proposed work focuses on the prevention of cyberbullying by applying the principles of Cognitive Psychology and Intent analysis. The model based on the theory of planned behavior helps the person to identify the intention of a message and understand how people would respond to it before it is being posted/shared. The proposed system also utilizes the techniques of Natural language Processing and Machine Learning. Several experiments will be conducted to analyze the performance of the proposed model.
CYBERBULLYING COGNITIVE PSYCHOLOGY SOCIAL MEDIA NATURAL LANGUAGE PROCESSING MACHINE LEARNING