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Stream/Area:
-
Subject:
-
Paper ID:
10.55041/IJSREM15384
Volume:
6 |
7 |
Jul 2022
Pages:
Publication Frequency:
Monthly (12 issues per year)
License:International Journal of Scientific Research in Engineering and Management follows the Creative Commons Attribution 4.0 (CC BY 4.0) License, allowing free use and distribution with proper attribution.
The rise of cyberbullying, which will be more terrible than conventional pestering in general given that web-based records typically persist on the Internet for a long time and are challenging to regulate, is one of the most detrimental effects of social media. We present Bully Net, a three-stage calculation for identifying cyberbullies on Twitter interpersonal organization, in this article. By offering a robust technique for constructing a cyberbullying marked network, we take use of tormenting proclivities (SN). In order to streamline the harassment score, we analyze tweets to ascertain their relationship to cyberbullying while also taking into account the context in which the tweets were written.
KEYWORDS
Publication Date
5/6/2022
Peer Review Type
Double-Blind Peer Review
Review Rounds: 2
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Conflict of Interest
The authors declare no conflict of interest related to this research work.
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