DocumentCode :
3776474
Title :
Methods for detection of cyberbullying: A survey
Author :
Rekha Sugandhi;Anurag Pande;Siddhant Chawla;Abhishek Agrawal;Husen Bhagat
Author_Institution :
Department of Computer Engineering, MIT College of Engineering, Pune, India
fYear :
2015
Firstpage :
173
Lastpage :
177
Abstract :
The advent of the digital age has paved the way for a new form of bullying which often leads to social stigma. With an increase in the use of social media platforms by adolescents, cyber bullying has become quite rampant and in some extreme cases it has also resulted in suicides by the victims. Very little efforts have been taken to curb this social menace and hence, this paper tries to address this issue by reviewing the steps that can be undertaken to detect cyber bullying on online social networks. This paper aims to review the different methods and algorithms used for detection in cyber bullying and provide a comparative study amongst them so as to decide which method is the most effective approach and provides the best accuracy.
Keywords :
"MySpace","Support vector machines"
Publisher :
ieee
Conference_Titel :
Intelligent Systems Design and Applications (ISDA), 2015 15th International Conference on
Electronic_ISBN :
2164-7151
Type :
conf
DOI :
10.1109/ISDA.2015.7489220
Filename :
7489220
Link To Document :
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