Cyberbullying-Related Automated Hate Speech Detection on Social Media Platforms Using Stack Ensemble Classification Method

Cyberbullying-Related Automated Hate Speech Detection on Social Media Platforms Using Stack Ensemble Classification Method

Abstract Hate speech (HS) has grown because of increasing social media platform usage, which includes Twitter, YouTube, and Facebook. The frequent attempts to implement automated detection systems remain unsuccessful at separating hate speech from objectionable language, because user-generated conte...

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Bibliographic Details
Main Authors: Muhammad Mubeen, Aliza Muskan, Arslan Akram, Javed Rashid, Tagrid Abdullah N. Alshalali, Nadeem Sarwar
Format: Article
Language:English
Published: Springer 2025-07-01
Series:International Journal of Computational Intelligence Systems
Subjects:
Hate-speech
Support vector machine
Machine learning
Natural language processing
Hate-speech prediction
Online Access:https://doi.org/10.1007/s44196-025-00919-z
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https://doi.org/10.1007/s44196-025-00919-z

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