Cyberbullying in Text Content Detection: An Analytical Review
- URL: http://arxiv.org/abs/2303.10502v1
- Date: Sat, 18 Mar 2023 21:23:06 GMT
- Title: Cyberbullying in Text Content Detection: An Analytical Review
- Authors: Sylvia W Azumah, Nelly Elsayed, Zag ElSayed, Murat Ozer
- Abstract summary: Online social networks increase the user's exposure to life-threatening situations such as suicide, eating disorder, cybercrime, compulsive behavior, anxiety, and depression.
To tackle the issue of cyberbullying, most existing literature focuses on developing approaches to identifying factors and understanding the textual factors associated with cyberbullying.
This paper conducts a comprehensive literature review to provide an understanding of cyberbullying detection.
- Score: 0.0
- License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/
- Abstract: Technological advancements have resulted in an exponential increase in the
use of online social networks (OSNs) worldwide. While online social networks
provide a great communication medium, they also increase the user's exposure to
life-threatening situations such as suicide, eating disorder, cybercrime,
compulsive behavior, anxiety, and depression. To tackle the issue of
cyberbullying, most existing literature focuses on developing approaches to
identifying factors and understanding the textual factors associated with
cyberbullying. While most of these approaches have brought great success in
cyberbullying research, data availability needed to develop model detection
remains a challenge in the research space. This paper conducts a comprehensive
literature review to provide an understanding of cyberbullying detection.
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