“…However, networked disinhibiting can be used to moderately describe the reasons, the interrelations among individual's motivation, unstate condition, and benefit of automation and cyberbullying behavior remain topics that needs advance inquiry [1].Samuel Owusu, et al, this research understands whether teenager's empathy has an impact on their positive bystander behavior and proposed two hypotheses about the effect of empathy due to harassment. The study has to increase sample size, improving the reliability of the affective empathy scale, and investigating possible moderating factors [2].Ziyi Li, et al, an automated cyberbullying identification method that accomplish the parent-child interrelationship among comments in the post to arrest the attitude from the victim to identify cyberbullying comments [3].Arpita Chakraborty, et al, provided a design model that possess a superior semantic understanding of cyberbullying messages and can identify different types of bullying that can occur with/without the presence of profane/abusive words. But it cannot detect the difference profound signals present in bullying messages and responses, i.e., emotional will help in accurately identifying different forms of bullying and foster a deeper understanding of their impact on recipients [4].…”