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Automatic Monitoring and Prevention of Cyberbullying

by Rekha Sugandhi, Anurag Pande, Abhishek Agrawal, Husen Bhagat
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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 144 - Number 8
Year of Publication: 2016
Authors: Rekha Sugandhi, Anurag Pande, Abhishek Agrawal, Husen Bhagat
10.5120/ijca2016910408

Rekha Sugandhi, Anurag Pande, Abhishek Agrawal, Husen Bhagat . Automatic Monitoring and Prevention of Cyberbullying. International Journal of Computer Applications. 144, 8 ( Jun 2016), 17-19. DOI=10.5120/ijca2016910408

@article{ 10.5120/ijca2016910408,
author = { Rekha Sugandhi, Anurag Pande, Abhishek Agrawal, Husen Bhagat },
title = { Automatic Monitoring and Prevention of Cyberbullying },
journal = { International Journal of Computer Applications },
issue_date = { Jun 2016 },
volume = { 144 },
number = { 8 },
month = { Jun },
year = { 2016 },
issn = { 0975-8887 },
pages = { 17-19 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume144/number8/25199-2016910408/ },
doi = { 10.5120/ijca2016910408 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T23:47:05.501696+05:30
%A Rekha Sugandhi
%A Anurag Pande
%A Abhishek Agrawal
%A Husen Bhagat
%T Automatic Monitoring and Prevention of Cyberbullying
%J International Journal of Computer Applications
%@ 0975-8887
%V 144
%N 8
%P 17-19
%D 2016
%I Foundation of Computer Science (FCS), NY, USA
Abstract

The digital age has given rise to a new form of bullying, termed cyberbullying. A majority of teens use some sort of social media service, thus leading to cyber bullying becoming quite rampant and in some extreme cases, also resulting in victim suicides. In this paper, we aim to show the results of the system we designed for the automatic monitoring and prevention of cyberbullying. The response grading system takes into account the severity of bullying and gives appropriate responses.

References
  1. cyberbullying.org/about-us/ (Accessed 26th August)
  2. http://www.endcyberbullying.org/india-ranks-third-on-global-cyber-bullying-list/ (Accessed 28th August)
  3. http://indianexpress.com/article/technology/technology-others/alarming-50-indian-youths-have-experienced-cyberbullying/ (Accessed 29th August)
  4. L. Hon and K.Varathan, “Cyberbullying Detection System on Twitter”, IJABM, Vol.1, No.1, April 2015.
  5. R. Sabella, J. Patchin and S. Hinduja, “Cyberbullying Myths and Realities ”, Elsevier Transaction on Computers in Human Behaviour, Vol. 29, August 2013, Page No. 2703-2711
  6. K. Reynolds, A. Kontostathis and L. Edwards, “Using Machine Learning To Detect Cyberbullying”, ICMLA, Vol. 2, December 2011, Page No. 241-244
  7. K. Dinakar, B. Jones, C. Havasi, H. Lieberman and R. Picard, “Common Sense Reasoning for Detection, Prevention and Mitigation of Cyberbullying”, ACM Transactions on Interactive Intelligent Systems, Vol.2, No. 3, September 2012, Article 18
  8. http://download.microsoft.com/download/E/8/4/E84BEEAB-7B92-4CF8-B5C7-7CC20D92B4F9/WW%20Online%20Bullying%20Survey%20-%20Executive%20Summary%20-%20Singapore_Final.pdf (Accessed 31st August)
  9. http://www.chatcoder.com/DataDownload
  10. H. Sanchez and S. Kumar, ”Twitter Bullying Detection”, UC Santa Cruz
  11. SCHON D. 1983. The Reflective Practitioner. Basic Books, New York.
Index Terms

Computer Science
Information Sciences

Keywords

cyberbullying social media data pre-processing support vector machine multiclass SVM

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