Comparing Traditional Machine Learning Methods for COVID-19 Fake News-Reference-Cited by-同舟云学术

Comparing Traditional Machine Learning Methods for COVID-19 Fake News

Published:2021-12-21 Issue: Volume: Page:
ISSN:
Container-title:2021 22nd International Arab Conference on Information Technology (ACIT)
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Author:

Almatarneh Sattam,Gamallo Pablo,ALshargabi Bassam,Al-Khassawneh Yazan,Alzubi Raed

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9677036/9677041/09677453.pdf?arnumber=9677453

Reference22 articles.

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2. Identifying Fake News on Twitter using Naive Bayes, SVM and Random Forest Distributed Algorithms;cus;Proceedings of The 13th Edition of the International Conference on Linguistic Resources and Tools for Processing Romanian Language (ConsILR-2018),2018

3. Human-machine interaction: A case study on fake news detection using a backtracking based on a cognitive system

4. Fake news detection using Deep Learning;rodríguez,2019

5. BERT for Evidence Retrieval and Claim Verification

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