CYBERBULLYING DETECTION & PREVENTION ON SOCIAL NETWORKS
- Final Year Student of B.E, Department of Information Science & Engineering, Acharya Institute of Technology, Bangalore-560090, Karnataka, India.
- Assistant Professor, Department of Information Science & Engineering, Acharya Institute of Technology, Bangalore-560090, Karnataka, India.
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Abstract
As social media becomes, more popular cyberbullying has become a household word nowadays.
Before the revolution of social media, cyberbullying is generally controlled by following
standard guidelines, the use of human technicians, and blacklisting disrespectful words.
Nevertheless, after the revolution, these mechanisms fall short for handling billions of users on
social media. So, there is a need for building a system that can detect the sentiment of the content
posted by the users and prevent the material from posting based on the sense of the content.
However, it is difficult because the content from social media is mostly unstructured, short, and
noisy, and frequently there's a use of confusing abusive phrases and words. To make cyberspace
a secure place for future generations, a cyberbullying detection & prevention system is proposed.
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How to Cite This Article
Diganto Deb Barma, Vishal Dwvedi and Akshatha Ballal (2020); CYBERBULLYING DETECTION & PREVENTION ON SOCIAL NETWORKS, Int. J. of Adv. Res., 8 (07), 87-90, ISSN 2320-5407. DOI: https://doi.org/10.21474/IJAR01/11266
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