AFND: Arabic fake news dataset for the detection and classification of articles credibility-Reference-Cited by-同舟云学术

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AFND: Arabic fake news dataset for the detection and classification of articles credibility

Published:2022-06 Issue: Volume:42 Page:108141
ISSN:2352-3409
Container-title:Data in Brief
language:en
Short-container-title:Data in Brief

Author:

Khalil Ashwaq,Jarrah Moath^ORCID,Aldwairi Monther,Jaradat Manar

Funder

Jordan University of Science and Technology

Zayed University

Publisher

Elsevier BV

Subject

Multidisciplinary

Reference4 articles.

1. K. McKee, Feedparser - parse atom and RSS feeds in python, https://pypi.org/project/feedparser/. Accessed February 10, 2022.

2. L. Ou-Yang, Newspaper3k - simplified python article discovery and extraction, https://pypi.org/project/newspaper3k/. Accessed February 10, 2022.

3. MISBAR, fact-checking platform, https://misbar.com/en. Accessed February, 10, 2022.

4. Detecting arabic fake news using machine learning;Khalil,2021

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1. Enhancing Arabic Fake News Detection: Evaluating Data Balancing Techniques Across Multiple Machine Learning Models;Engineering, Technology & Applied Science Research;2024-08-02

2. Survey of machine learning techniques for Arabic fake news detection;Artificial Intelligence Review;2024-05-28

3. An Ensemble Deep Learning Models Based on Metadata for Measuring Arabic Fake News Uncertainty;2024 IEEE International Conference on Advanced Systems and Emergent Technologies (IC_ASET);2024-04-27

4. Arabic Fake News Detection in Social Media Context Using Word Embeddings and Pre-trained Transformers;Arabian Journal for Science and Engineering;2024-04-25

5. Hybrid Neural Network Models for Detecting Fake News Articles;Human-Centric Intelligent Systems;2023-12-16

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