Normalized effect size (NES): a novel feature selection model for Urdu fake news classification

Normalized effect size (NES): a novel feature selection model for Urdu fake news classification

Social media has become an essential source of news for everyday users. However, the rise of fake news on social media has made it more difficult for users to trust the information on these platforms. Most research studies focus on fake news detection in the English language, and only a limited numb...

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Bibliographic Details
Main Authors: Muhammad Wasim, Sehrish Munawar Cheema, Ivan Miguel Pires
Format: Article
Language:English
Published: PeerJ Inc. 2023-10-01
Series:PeerJ Computer Science
Subjects:
Urdu fake news
Feature selection
Feature engineering
Style-based classification
Textual data
Natural language processing (NLP)
Online Access:https://peerj.com/articles/cs-1612.pdf

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