Mitigating Cyber Bullying

Reflective Portfolio
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Mitigating Cyber Bullying
Al-Garadi, M. A., Hussain, M. R., Khan, N., Murtaza, G., Nweke, H. F., Ali, I., ... & Gani, A. (2019). Predicting cyberbullying on social media in the big data era using machine learning algorithms: review of literature and open challenges. IEEE Access, 7, 70701-70718.’
Al-Garadi article assesses how various misuses of social media platforms have proven harmful to victims and how the development of prediction models can help curb this behavior. The article also discusses how cyberbullying detection works and the benefits it has for society. The article also exhibits that despite numerous challenges encountered when attempting to predict various cyberbullying behaviors using machine learning algorithms, the goal has significantly been met. As a result, the article will serve as a reliable source of information on the topic of cyberbullying.
Hellfeldt, K., López-Romero, L., & Andershed, H. (2020). Cyberbullying and psychological well-being in young adolescence: the potential protective mediation effects of social support from family, friends, and teachers. International journal of environmental research and public health, 17(1), 45.
The primary focus of Hellfeldt’s article is the relationship that exists between an individual who has experienced various forms of cyberbullying and their psychological well-being. Hellfeldt article also investigates how those who receive support from third parties are affected by cyberbullying in comparison to those who do not. The primary research method used was observation, with the behavior of various victims of cyberbullying being critically evaluated. The main findings were that individuals who were fortunate enough to receive social support from their teachers and parents following cyberbullying were less likely to become depressed. The article’s main limitation is that, despite the prevalence of cyberbullying, it is primarily focused on young adolescence alone. As a result, the article will be extremely useful in analyzing the impact of cyberbullying.
Ho, S. S., Lwin, M. O., Yee, A. Z., Sng, J. R., & Chen, L. (2019). Parents’ responses to cyber bullying effects: How third-person perception influences support for legislation and parental mediation strategies. Computers in Human Behavior, 92, 373-380.
Ho et al. emphasize in this article that third-party effects best explain how parents react to cyberbullying. The study’s main finding is that parents’ perceptions of cyberbullying are heavily influenced by their personal support for anti-cyberbullying legislation. The data used in this article came from a survey of 1187 parents, implying that the information provided is reliable. Another finding was that parents tend to believe that other people’s children are more likely to be victims of cyberbullying than their own. The article’s main limitation is that the information provided was primarily based on a survey of Singaporeans. As a result, the findings presented may not fully represent how parents worldwide deal with cyberbullying. The article provide...