COVID-19 fake news detection: A hybrid CNN-BiLSTM-AM model
H Xia, Y Wang, JZ Zhang, LJ Zheng, MM Kamal… - … Forecasting and Social …, 2023 - Elsevier
With the rapid development of technology, social media as a communication platform has
caused a significant increase in the dissemination of false information and fake news. We …
caused a significant increase in the dissemination of false information and fake news. We …
[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 by using BERT and RoBERTa models
T Pavlov, G Mirceva - 2022 45th Jubilee International …, 2022 - ieeexplore.ieee.org
We live in a world where COVID-19 news is an everyday occurrence with which we interact.
We are receiving that information, either consciously or unconsciously, without fact-checking …
We are receiving that information, either consciously or unconsciously, without fact-checking …
Transfer learning and GRU-CRF augmentation for COVID-19 fake news detection
The spread of fake news on online media is very dangerous and can lead to casualties,
effects on psychology, character assassination, elections for political parties, and state …
effects on psychology, character assassination, elections for political parties, and state …
Fake news detection using deep recurrent neural networks
T Jiang, JP Li, AU Haq, A Saboor - 2020 17th International …, 2020 - ieeexplore.ieee.org
The widely spread of fake news has significantly impacted our life in politics and economics.
To solve this problem, different researchers have proposed various machine learning and …
To solve this problem, different researchers have proposed various machine learning and …
Using deep learning models to detect fake news about COVID-19
The proliferation of mobile networked devices has made it easier and faster than ever for
people to obtain and share information. However, this occasionally results in the …
people to obtain and share information. However, this occasionally results in the …
A systematic survey on deep learning and machine learning approaches of fake news detection in the pre-and post-COVID-19 pandemic
R Varma, Y Verma, P Vijayvargiya… - International Journal of …, 2021 - emerald.com
Purpose The rapid advancement of technology in online communication and fingertip
access to the Internet has resulted in the expedited dissemination of fake news to engage a …
access to the Internet has resulted in the expedited dissemination of fake news to engage a …
[PDF][PDF] A Hybrid Model for Effective Fake News Detection with a Novel COVID-19 Dataset.
RK Kaliyar, A Goswami, P Narang - ICAART (2), 2021 - pdfs.semanticscholar.org
Due to the increasing number of users in social media, news articles can be quickly
published or share among users without knowing its credibility and authenticity. Fast …
published or share among users without knowing its credibility and authenticity. Fast …
Two stage transformer model for COVID-19 fake news detection and fact checking
The rapid advancement of technology in online communication via social media platforms
has led to a prolific rise in the spread of misinformation and fake news. Fake news is …
has led to a prolific rise in the spread of misinformation and fake news. Fake news is …
Selective feature sets based fake news detection for COVID-19 to manage infodemic
During the COVID-19 pandemic, the spread of fake news became easy due to the wide use
of social media platforms. Considering the problematic consequences of fake news, efforts …
of social media platforms. Considering the problematic consequences of fake news, efforts …