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Cybercrime detection in online communications: The experimental case of cyberbullying detection in the Twitter network

  • Published:2016-10 Issue: Volume:63 Page:433-443
  • ISSN:0747-5632
  • Container-title:Computers in Human Behavior
  • language:en
  • Short-container-title:Computers in Human Behavior

Author:

Al-garadi Mohammed Ali,Varathan Kasturi Dewi,Ravana Sri Devi

Funder

University of Malaya

Publisher

Elsevier BV

Subject

General Psychology,Human-Computer Interaction,Arts and Humanities (miscellaneous)

Reference111 articles.

1. Predicting personality with social behavior;Adali,2012

2. PhishAri: automatic realtime phishing detection on twitter;Aggarwal,2012

3. Psychiatric symptomatology as a predictor of cyberbullying among university students;Arıcak;Eurasian Journal of Educational Research,2009

4. Cyberbullying among young adults in Malaysia: the roles of gender, age and internet frequency;Balakrishnan;Computers in Human Behavior,2015

5. Associations among bullying, cyberbullying, and suicide in high school students;Bauman;Journal of Adolescence,2013

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4. Review of Cybercrime Detection Approaches using Machine Learning and Deep Learning Techniques;2024 3rd International Conference on Applied Artificial Intelligence and Computing (ICAAIC);2024-06-05

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