Exploring the hidden patterns of cyberbullying on social media

In recent years, people are broadly and publicly meant to share their experiences, ideas, and opinions using social media platforms over the internet. However, social media services have positive and negative consequences depends upon the way of users using it. Cyberbullying is one of the serious problem plaguing social networking websites in several ways particularly grown between adolescents. Thus, this study will explore the hidden patterns of MomoChallenge an event and form of cyberbullying especially grown on Twitter. Social network analysis(SNA) will be used to analyze the Twitter network of MomoChallenge. Data is collected and analyzed using NodeXL an open source tool managed by a social media research foundation. In the proposed system three analysis techniques are developed for discovery of cyberbullying includes network analysis, content analysis, and Graph-based network visualization analysis. Network and content analysis will be used to scrutinize the ways by which the victims are targeted, the behavior of the users, to find how information spreads and sentiment analysis of the user tweet to detect opinion of the users about cyberbullying. Graph based visualizations are used to find the network patterns of MomoChallenge. (C) 2020 The Authors. Published by Elsevier B.V.