Enhancing Immoral Post Detection on Social Networks Using Knowledge Graph and Attention-Based BiLSTM Framework

Enhancing Immoral Post Detection on Social Networks Using Knowledge Graph and Attention-Based BiLSTM Framework

Preserving a secure and morally safe online environment on social media is a challenging task. It is essential to find immoral or unsuitable information in user-generated postings to safeguard users and enforce community standards. Various Natural Language Processing (NLP) approaches are being emplo...

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Bibliographic Details
Main Authors: Bibi Saqia, Khairullah Khan, Atta Ur Rahman, Sajid Ullah Khan, Mohammed Alkhowaiter, Wahab Khan, Ashraf Ullah
Format: Article
Language:English
Published: IEEE 2024-01-01
Series:IEEE Access
Subjects:
Immoral posts
post detection
NLP
social media
knowledge graph
BiLSTM network
Online Access:https://ieeexplore.ieee.org/document/10759662/
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https://ieeexplore.ieee.org/document/10759662/

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