PREDICTING CYBERBULLYING ON SOCIAL MEDIA IN THEBIG DATA ERA USING MACHINE LEARNING ALGORITHMS:REVIEW OF LITERATURE AND OPEN CHALLENGES

Authors

  • Dr.Mohammad Sanaullah Qaseem Professor1, Department of cse NAWAB SHAH ALAM KHAN COLLEGE OF ENGINEERING & TECHNOLOGY NEW MALAKPET, HYDERABAD-500024 Author
  • Md.Abdul Rawoof Asst.Prof2 Department of cse NAWAB SHAH ALAM KHAN COLLEGE OF ENGINEERING & TECHNOLOGY NEW MALAKPET, HYDERABAD-500024 Author

Abstract

Prior to the innovation of information
communication technologies (ICT), social
interactions evolved within small cultural
boundaries such as geo spatial locations. The
recent developments of communication
technologies have considerably transcended the
temporal and spatial limitations of traditional
communications. These social technologies
have created a revolution in user-generated
information, online human networks, and rich
human behavior-related data. However, the
misuse of social technologies such as social
media (SM) platforms, has introduced a new
form of aggression and violence that occurs
exclusively online. A new means of
demonstrating aggressive behavior in SM
websites are highlighted in this paper. The
motivations for the construction of prediction
models to fight aggressive behavior in SM are
also outlined. We comprehensively review
cyberbullying prediction models and identify

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Published

2021-08-29

Issue

Vol. 6 No. 8 (2021): August

Section

Articles

How to Cite

PREDICTING CYBERBULLYING ON SOCIAL MEDIA IN THEBIG DATA ERA USING MACHINE LEARNING ALGORITHMS:REVIEW OF LITERATURE AND OPEN CHALLENGES. (2021). International Journal of Multidisciplinary Engineering In Current Research, 6(8). https://ijmec.com/index.php/multidisciplinary/article/view/100