Association analysis of cyberbullying on social media using apriori algorithm

Zuraini Zainol, Sharyar Wani, Nohuddin Puteri Nor Ellyza, Wan M.U. Noormanshah, Syahaneim Marzukhi

Research output: Contribution to journalArticle

Abstract

With the phenomenal increase in use of Social Networking Service (SNS) and mobile technology, the consequences of cyberbullying have become an epidemic. More than 80% youth use cell phones making them extremely vulnerable to the abuse and one in three young people have been found victims of this problem. There are many different methods of detection cyberbullying behaviour patterns however rarely any focuses on analysis based on association especially in Malay language. Learning and detecting using association is a natural communication phenomenon that can help to identify abusive content from the hidden corpora, which often goes unnoticed. Association helps to identify trends, rules and patterns of the bullies and detects abusive content considering whole sets rather than focusing on single instances. The current work focuses on detection of cyberbullying instances by association analysis using the Apriori Algorithm. It mainly focuses on detecting bullying and aggressive behaviour on Twitter. Over 80 different patterns with high confidence levels were detected that can be successfully implemented for the detection process. The high confidence levels are indicative of the efficiency of association analysis for cyberbully detection in SNS.

Original languageEnglish
Pages (from-to)72-75
Number of pages4
JournalInternational Journal of Engineering and Technology(UAE)
Volume7
Issue number4.29 Special Issue 29
Publication statusPublished - 1 Jan 2018

Fingerprint

Social Media
Bullying
Communication
Social Networking
Social Work
Cell Phones
Language
Learning
Technology
Efficiency

Keywords

  • Association analysis
  • Association rule mining
  • Cyberbullying detection
  • Cybersafety
  • Malay
  • Twitter

ASJC Scopus subject areas

  • Biotechnology
  • Computer Science (miscellaneous)
  • Environmental Engineering
  • Chemical Engineering(all)
  • Engineering(all)
  • Hardware and Architecture

Cite this

Zainol, Z., Wani, S., Puteri Nor Ellyza, N., Noormanshah, W. M. U., & Marzukhi, S. (2018). Association analysis of cyberbullying on social media using apriori algorithm. International Journal of Engineering and Technology(UAE), 7(4.29 Special Issue 29), 72-75.

Association analysis of cyberbullying on social media using apriori algorithm. / Zainol, Zuraini; Wani, Sharyar; Puteri Nor Ellyza, Nohuddin; Noormanshah, Wan M.U.; Marzukhi, Syahaneim.

In: International Journal of Engineering and Technology(UAE), Vol. 7, No. 4.29 Special Issue 29, 01.01.2018, p. 72-75.

Research output: Contribution to journalArticle

Zainol, Z, Wani, S, Puteri Nor Ellyza, N, Noormanshah, WMU & Marzukhi, S 2018, 'Association analysis of cyberbullying on social media using apriori algorithm', International Journal of Engineering and Technology(UAE), vol. 7, no. 4.29 Special Issue 29, pp. 72-75.
Zainol, Zuraini ; Wani, Sharyar ; Puteri Nor Ellyza, Nohuddin ; Noormanshah, Wan M.U. ; Marzukhi, Syahaneim. / Association analysis of cyberbullying on social media using apriori algorithm. In: International Journal of Engineering and Technology(UAE). 2018 ; Vol. 7, No. 4.29 Special Issue 29. pp. 72-75.
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