Fake News Detection: An Effective Content-Based Approach Using Machine Learning Techniques-Reference-Cited by-同舟云学术

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Fake News Detection: An Effective Content-Based Approach Using Machine Learning Techniques

Published:2022-01-25 Issue: Volume: Page:
ISSN:
Container-title:2022 International Conference on Computer Communication and Informatics (ICCCI)
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Author:

Mathews Eappen Zachariah¹,Preethi N.¹

Affiliation:

1. CHRIST University,Data Science Department,Pune,India

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9740652/9740653/09741049.pdf?arnumber=9741049

Reference38 articles.

1. Online passive-aggressive algorithms;crammer;J Mach Learn Res,2006

2. Kernel methods in machine learning

3. An Introduction to Support Vector Machines and Other Kernel-based Learning Methods

4. DeepFakE: improving fake news detection using tensor decomposition-based deep neural network

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1. Detection of fake news: A comparative analysis using machine learning;AIP Conference Proceedings;2024

2. Fake News Identification: An Effective Combined Approach using ML and DL Techniques;2023 2nd International Conference on Paradigm Shifts in Communications Embedded Systems, Machine Learning and Signal Processing (PCEMS);2023-04-05

3. Automatic Fake News Detection: A Review Article on State of the Art;Lecture Notes in Networks and Systems;2023

4. A Cross-Validated Fine-Tuned GPT-3 as a Novel Approach to Fake News Detection;Proceedings of the International Conference on Applied Cybersecurity (ACS) 2023;2023

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