Abstract
In the everchanging world, technology holds up a very big space and is presently infused into almost every sector. And a vast portion of this technological world is influenced by social media. This very impact of social media is not limited within the current boundary of its domination rather it’s expanding with each passing day. With this growing influence, although it’s playing a significant role into bringing this world in a more closely defined arena, it is also attracting a huge number of illicit activities in the name of cyberbullying and scamming. Holding up with this trend, people are sharing more and more of their personal details which includes personal identity, their bank accounts a lot more. In a nutshell, social media is like an open book into the life of a person which does leave some loopholes open for the people to take advantage and use it in their favor. Accessing this book, these cyber-criminals get to use the precious information and use it for blackmailing and bullying only for the purpose of fulfilling their illicit demands which puts the targeted person on a loosely constructed pedestal. As per statistics, it is responsible for the loss of hundreds and thousands of teenagers every year as they suffer from insecurity and stress due to the fear of their personal or private data being leaked. Machine Intelligence plays a key part in mitigating the concept of cyberbullying in social media with respect to personal details and statements given by the users. Several machine learning techniques have been utilized and researched for the same and this chapter focuses on highlighting all the procedures currently used to limit cyberbullying in this area.
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Zubair, M., Zubair, S., Ahmed, M. (2023). Cyberbullying Instilled in Social Media. In: Ahmed, M., Haskell-Dowland, P. (eds) Cybersecurity for Smart Cities. Advanced Sciences and Technologies for Security Applications. Springer, Cham. https://doi.org/10.1007/978-3-031-24946-4_2
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