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Home / Archives / Volume-5 / Issue-2 / Article-8

Volume - 5 | Issue - 2 | june 2023

Cyberbully Retarder System using Machine Learning Open Access
Abinaya SP  , Suji N, Kaviya Sree M  104
Pages: 180-192
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Cite this article
SP, Abinaya, Suji N, and Kaviya Sree M. "Cyberbully Retarder System using Machine Learning." Journal of Information Technology and Digital World 5, no. 2 (2023): 180-192
DOI
10.36548/jitdw.2023.2.008
Published
26 June, 2023
Abstract

Covid-19 has switched almost every facet of life to online mode. Therefore, parents are forced to buy gadgets for their children for learning purposes. As a result, cyberbullying has also increased. Nowadays, youngsters get bullied online while using social media and playing online games. Everyday nearly thousands of users deal with bullying related to body shame, facial appearance, behavior, racism, sexual harassment, and other kinds of online bullying. To prevent this harassment, Machine learning algorithms are used to automatically detect the use of abusive words used by the bullies, and the developers will be notified if any type of abusive words are found and the necessary action can be taken. Moreover, a message will be sent if there is any abusive content in the chat. Therefore, the proposed method is efficient in identifying a cyber bullying activity on social media. This system will undoubtedly be useful as many students create social media accounts to keep track of their school life. Now that everything is online, this system proves beneficial in preventing cyberbullying.

Keywords

Cyberbully Detection Machine Learning Natural Language Processing

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