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Published in: Multimedia Systems 6/2022

01-11-2022 | Editorial

Special issue on deep learning methods for cyberbullying detection in multimodal social data

Authors: Hong Lin, Patrick Siarry, H. L. Gururaj, Joel Rodrigues, Deepak Kumar Jain

Published in: Multimedia Systems | Issue 6/2022

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Excerpt

The prevalence and global reach of social multimedia have led to people finding unlawful and unethical ways to use socially connected virtual groups. Cyberbullying, where people find novel ways to bully one another online, is one of its most serious side effects. Cyberbullying is defined formally as any conduct whereby people or groups frequently convey hostile or aggressive messages with the intention of causing injury, embarrassment, or distress to others. It has developed into a social danger that has a detrimental impact on both the victim and the bully’s mentality. The social networking sites are a more pervasive form of bullying that can ultimately cause the victim’s psychological and emotional collapse with feelings of low self-esteem, melancholy, stress, rage, sadness, deteriorating health, loneliness, and suicides, among other things. …

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Metadata
Title
Special issue on deep learning methods for cyberbullying detection in multimodal social data
Authors
Hong Lin
Patrick Siarry
H. L. Gururaj
Joel Rodrigues
Deepak Kumar Jain
Publication date
01-11-2022
Publisher
Springer Berlin Heidelberg
Published in
Multimedia Systems / Issue 6/2022
Print ISSN: 0942-4962
Electronic ISSN: 1432-1882
DOI
https://doi.org/10.1007/s00530-022-01000-x

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