Big Data ML-Based Fake News Detection Using Distributed Learning-Reference-Cited by-同舟云学术

Big Data ML-Based Fake News Detection Using Distributed Learning

Published:2023 Issue: Volume:11 Page:29447-29463
ISSN:2169-3536
Container-title:IEEE Access
language:
Short-container-title:IEEE Access

Author:

Altheneyan Alaa¹^ORCID,Alhadlaq Aseel¹^ORCID

Affiliation:

1. Department of Computer Science and Engineering, College of Applied Studies and Community Services, King Saud University, Riyadh, Saudi Arabia

Funder

King Saud University, Riyadh, Saudi Arabia

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

General Engineering,General Materials Science,General Computer Science,Electrical and Electronic Engineering

Link

http://xplorestaging.ieee.org/ielx7/6287639/10005208/10078408.pdf?arnumber=10078408

Reference57 articles.

1. MITRE at SemEval-2016 Task 6: Transfer Learning for Stance Detection

2. SemEval-2019 Task 7: RumourEval, Determining Rumour Veracity and Support for Rumours

3. Support or oppose? Classifying positions in online debates from reply activities and opinion expressions;murakami;Proc 23rd Int Conf Comput Linguistics,2010

4. A novel approach to stance detection in social media tweets by fusing ranked lists and sentiments

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