A Review of Cyberbullying Detection: An Overview |
Author(s): |
| Vaibhav S. Dande , Dr.Rajendra Gode Institute of Technology and Research,Amravati Maharashtra ,India; Z. I. Khan, Dr.Rajendra Gode Institute of Technology and Research,Amravati Maharashtra ,India |
Keywords: |
| Cyberbulling; Cybercrime; Computer Crime; Cyber Prediator; Text Mining |
Abstract |
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With the growth of online communication and social network. These internet services help establish new connections between persons or reinforce existing ones. However, they can also lead to misbehaviors or cyber-criminal acts for example, cyberbullying. Cyberbullying is the use of technology as a medium to bully someone. Although it has been an issue for many years, the recognition of its impact on young people has recently increased. Social networking sites, such as MySpace, Facebook, and Formspring.me, provide a fertile medium for bullies. Teens and young adults who use these sites are vulnerable to attacks. Through machine learning, we can detect language patterns used by bullies and their victims, and develop rules to automatically detect cyberbullying content. |
Other Details |
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Paper ID: IJSRDV6I21613 Published in: Volume : 6, Issue : 2 Publication Date: 01/05/2018 Page(s): 3422-3425 |
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