Curbing Cyber Bullying Literature Review
Cyberbullying is a severe problem facing the current society, with its effects impact ranging from children to adults. Previous literature identified suitable for this research indicates that curbing the problem is dependent on adopting technological approaches (Cohen et al., 2014; Salawu, He, & Lumsden, 2020; Dadvar, Trieschnigg & de Jong, 2014). Automatic detection of cyberbullying presents effective potentials in helping prevent and stop the effects of cyberbullying. Various studies identified provide noteworthy information on the aspects of automatic detection and the role the strategies and tool play in the mitigation of the problem (Dadvar, Trieschnigg & de Jong, 2014; Moore et al., 2013). These sources evaluate the different approaches that detection can be contextualized in ensuring the facilitation of the objective.
According to (Sathyanarayana Rao et al., 2018), technological advancements play varying roles in the context of cyberbullying. The authors argue that through technology, bullies can target and instigate psychological harm to their victims; however, its potentials are inextinguishable since it can be used in detecting, blocking, and locating the source ((Sathyanarayana Rao et al., 2018). Kumar and Sachdeva (2019) in their study support the argument by stating that through the application of computing techniques, intervention and prevention strategies in stopping cyberbullying are realized. Further, in their research, Espelage and Hong (2017) present evidence that digital media text detection measure is a positive approach in preventing the problem with the community.
In their article, Cohen et al. (2014) state that the government’s role in combating the problem is notable with the various policies and laws in place. Further, the article provides evidence that supports the importance of sustaining cyberbullying detection tools as ways of reducing the potentials of cyberbullying activities (Cohen et al., 2014). Using text detection tools across the social media platform is one of the positive approaches to stopping this social evil. Salawu et al. (2020), in their article, provide data that supports the claims by indicating that text detection and signal detection approaches are among the most profound methods in ensuring the curbing of the bullying. These studies show that by adopting stringent and effective measures, culprits are caught and punished according to the law.
Punishment is another valid form of preventing the increase of cyberbullying reports in the United States and other regions globally. According to Notar, Padgett, and Roden (2013), detecting and punishing the caught perpetrators provide a measure on which the problem’s effects can be reduced. Sathyanarayana et al. (2018) also provide adequate information on the importance of punishing the caught instigators since it ensures the provision of awareness of the consequences that follow the crime. The studies identify the implications of the act as means adopted to warn future perpetrators of the ramifications associated with using the internet to bully others.
According to these studies, governments, and society, in general, should implement adaptive and strict measures in promoting the prevention of the problem. This is because the effects cause severe problems to the victims, which have, in the past, led to suicides and other significant psychological problems. Additionally, these sources provide the research with adequate information on the context of implementing a cyber-bullying signal device as a positive measure and contribution in ending this evil that lies within the society. Identifying and educating the community on approaches to secure themselves from online harassment will be a positive influence in promoting the set objective.