Construction of Datasets and Statistical Analysis for Classifying Fake/Real News About Coronavirus-Reference-Cited by-同舟云学术

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Construction of Datasets and Statistical Analysis for Classifying Fake/Real News About Coronavirus

Published:2024-04-27 Issue: Volume: Page:1-6
ISSN:
Container-title:2024 IEEE International Conference on Advanced Systems and Emergent Technologies (IC_ASET)
language:
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Author:

Aziz Raad Sadi¹,Sadiq Ahmed T.²,Kherallah Monji³,Douik Ali⁴

Affiliation:

1. Tunisia The Middle Technical University (MTU),Faculty of Sciences of Sfax University of Sfax Sfax,Baghdad,Iraq

2. University of Technology-Iraq,Department of Computer Sciences,Baghdad,Iraq

3. University of Sfax,Faculty of Sciences of Sfax,Sfax,Tunisia

4. Natinal Engineering School of Sousse, University of Sousse,Tunisia

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx8/10596138/10596139/10596149.pdf?arnumber=10596149

Reference24 articles.

1. Ebola and Localized Blame on Social Media: Analysis of Twitter and Facebook Conversations During the 2014–2015 Ebola Epidemic

2. Enhancing Seasonal Influenza Surveillance: Topic Analysis of Widely Used Medicinal Drugs Using Twitter Data

3. Coronavirus Goes Viral: Quantifying the COVID-19 Misinformation Epidemic on Twitter

4. COVID-19 and Arabic Twitter: How can Arab world governments and public health organizations learn from social media;Alsudias

5. COVID-19-FAKES: A Twitter (Arabic/English) Dataset for Detecting Misleading Information on COVID-19

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