Content-based fake news detection with machine and deep learning: A systematic review

N Capuano, G Fenza, V Loia, FD Nota - Neurocomputing, 2023 - Elsevier
Fake news, which can be defined as intentionally and verifiably false news, has a strong
influence on critical aspects of our society. Manual fact-checking is a widely adopted …

[HTML][HTML] Sentiment analysis for fake news detection

MA Alonso, D Vilares, C Gómez-Rodríguez, J Vilares - Electronics, 2021 - mdpi.com
In recent years, we have witnessed a rise in fake news, ie, provably false pieces of
information created with the intention of deception. The dissemination of this type of news …

[HTML][HTML] Fake news detection: A hybrid CNN-RNN based deep learning approach

JA Nasir, OS Khan, I Varlamis - International journal of information …, 2021 - Elsevier
The explosion of social media allowed individuals to spread information without cost, with
little investigation and fewer filters than before. This amplified the old problem of fake news …

Machine learning on small size samples: A synthetic knowledge synthesis

P Kokol, M Kokol, S Zagoranski - Science Progress, 2022 - journals.sagepub.com
Machine Learning is an increasingly important technology dealing with the growing
complexity of the digitalised world. Despite the fact, that we live in a 'Big data'world where …

Fake news early detection: A theory-driven model

X Zhou, A Jain, VV Phoha, R Zafarani - Digital Threats: Research and …, 2020 - dl.acm.org
Massive dissemination of fake news and its potential to erode democracy has increased the
demand for accurate fake news detection. Recent advancements in this area have proposed …

Benchmarking machine learning models for polymer informatics: an example of glass transition temperature

L Tao, V Varshney, Y Li - Journal of Chemical Information and …, 2021 - ACS Publications
In the field of polymer informatics, utilizing machine learning (ML) techniques to evaluate the
glass transition temperature T g and other properties of polymers has attracted extensive …

Fake news detection: Taxonomy and comparative study

F Farhangian, RMO Cruz, GDC Cavalcanti - Information Fusion, 2024 - Elsevier
The proliferation of social networks has presented a significant challenge in combating the
pervasive issue of fake news within modern societies. Due to the large amount of …

Analyzing machine learning enabled fake news detection techniques for diversified datasets

S Mishra, P Shukla, R Agarwal - Wireless Communications and …, 2022 - Wiley Online Library
Fake news, or fabric which appeared to be untrue with point of deceiving the open, has
developed in ubiquity in current a long time. Spreading this kind of data undermines societal …

Detecting misleading information on COVID-19

MK Elhadad, KF Li, F Gebali - Ieee Access, 2020 - ieeexplore.ieee.org
This article addresses the problem of detecting misleading information related to COVID-19.
We propose a misleading-information detection model that relies on the World Health …

Fake detect: A deep learning ensemble model for fake news detection

N Aslam, I Ullah Khan, FS Alotaibi, LA Aldaej… - …, 2021 - Wiley Online Library
Pervasive usage and the development of social media networks have provided the platform
for the fake news to spread fast among people. Fake news often misleads people and …