Fake News Detection on COVID-19 Tweeter Data Using Machine Learning Models-Reference-Cited by-同舟云学术

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Fake News Detection on COVID-19 Tweeter Data Using Machine Learning Models

Published:2022-11-20 Issue: Volume: Page:
ISSN:
Container-title:2022 IEEE North Karnataka Subsection Flagship International Conference (NKCon)
language:
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Author:

Chabukswar Arati¹,J Sushmitha¹,G Sandhya²,S R Likhith³,Shenoy P Deepa¹,K R Venugopal¹

Affiliation:

1. UVCE, Banglore University,Department of Computer Science & Eng,Bengaluru,India

2. Nagarjuna College of Engineering and Technology,Department of Computer Science & Eng,Bengaluru,India

3. Presidency University,Department of Computer Science & Eng,Bengaluru,India

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10126138/10126139/10126549.pdf?arnumber=10126549

Reference22 articles.

1. Using artificial intelligence techniques for detecting Covid-19 epidemic fake news in Moroccan tweets

2. FibVID: Comprehensive fake news diffusion dataset during the COVID-19 period

3. An ensemble machine learning approach through effective feature extraction to classify fake news

4. A Novel Stacking Approach for Accurate Detection of Fake News;jiang;IEEE Access,2021

5. Two-Path Deep Semisupervised Learning for Timely Fake News Detection

Cited by 1 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Preserving Information Integrity: A Novel Machine Learning Approach for Fake News Detection;2023 3rd International Conference on Mobile Networks and Wireless Communications (ICMNWC);2023-12-04

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