Developing a fake news identification model with advanced deep languagetransformers for Turkish COVID-19 misinformation data
The massive use of social media causes rapid information dissemination that amplifies
harmful messages such as fake news. Fake-news is misleading information presented as …
harmful messages such as fake news. Fake-news is misleading information presented as …
COVID-19 fake news identification using multi-layer convolutional neural network
S Srivastava, R Raj, S Saumya - Advanced Computational Paradigms and …, 2022 - Springer
The COVID-19 pandemic has given rise to a new momentum of circulation of fake news over
social media worldwide. It is of utmost importance to prevent the deluge of misinformation …
social media worldwide. It is of utmost importance to prevent the deluge of misinformation …
Deep transfer learning for COVID‐19 fake news detection in Persian
M Ghayoomi, M Mousavian - Expert Systems, 2022 - Wiley Online Library
The spread of fake news on social media has increased dramatically in recent years. Hence,
fake news detection systems have received researchers' attention globally. During the …
fake news detection systems have received researchers' attention globally. During the …
A BERT-Based Semantic Enhanced Model for COVID-19 Fake News Detection
During the COVID-19 pandemic, COVID-19-related news keeps growing and spreading
daily across social media platforms, including text, pictures, and videos. Meanwhile, fake …
daily across social media platforms, including text, pictures, and videos. Meanwhile, fake …
Effective fake news classifier and its applications to COVID-19
R Garg, S Jeevaraj - 2021 IEEE Bombay Section Signature …, 2021 - ieeexplore.ieee.org
With the spread of the COVID-19 over the globe, it has conducted a large amount of
misinformation and fake news on social networking sites. In this situation, when true and …
misinformation and fake news on social networking sites. In this situation, when true and …
Detection of Fake News Text Classification on COVID‐19 Using Deep Learning Approaches
WH Bangyal, R Qasim, NU Rehman… - … methods in medicine, 2021 - Wiley Online Library
A vast amount of data is generated every second for microblogs, content sharing via social
media sites, and social networking. Twitter is an essential popular microblog where people …
media sites, and social networking. Twitter is an essential popular microblog where people …
Bilingual COVID-19 Fake News Detection Based on LDA Topic Modeling and BERT Transformer
The spread of fake news has become more prevalent given the popularity of social media
and the various news that circulates on it. As a result, it is crucial to discern between real and …
and the various news that circulates on it. As a result, it is crucial to discern between real and …
[HTML][HTML] Towards COVID-19 fake news detection using transformer-based models
The COVID-19 pandemic has resulted in a surge of fake news, creating public health risks.
However, developing an effective way to detect such news is challenging, especially when …
However, developing an effective way to detect such news is challenging, especially when …
COVID-19 fake news detection using ensemble-based deep learning model
Fake news on various medicines, foods, and vaccinations relating to the COVID-19
pandemic has increased dramatically. These fake news reports lead individuals to believe in …
pandemic has increased dramatically. These fake news reports lead individuals to believe in …
Covid-19 fake news sentiment analysis
Abstract'Fake news' refers to the misinformation presented about issues or events, such as
COVID-19. Meanwhile, social media giants claimed to take COVID-19 related …
COVID-19. Meanwhile, social media giants claimed to take COVID-19 related …