Hate Speech Identification and Categorization on Social Media Using Bi-LSTM: An Information Science Perspective

Hate Speech Identification and Categorization on Social Media Using Bi-LSTM: An Information Science Perspective

Online social networks empower individuals with limited influence to exert significant control over specific individuals’ lives and exploit the anonymity or social disconnect offered by the Internet to engage in harassment. Women are commonly attacked due to the prevalent existence of sexism in our...

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Bibliographic Details
Main Authors: Krishna Kumar Mohbey, Basant Agarwal, Nishtha Kesswani, Maxim Sterjanov, Yunevich Nikol, Vishnyakova Margarita
Format: Article
Language:English
Published: Korea Institute of Science and Technology Information 2025-03-01
Series:Journal of Information Science Theory and Practice
Subjects:
hate speech detection
social media
deep learning
machine learning
metadata organization
content labelling
Online Access:https://data.doi.or.kr/10.1633/JISTaP.2025.13.1.4
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