Infodemic and fake news–A comprehensive overview of its global magnitude during the COVID-19 pandemic in 2021: A scoping review

V Balakrishnan, WZ Ng, MC Soo, GJ Han… - International Journal of …, 2022 - Elsevier
The spread of fake news increased dramatically during the COVID-19 pandemic worldwide.
This study aims to synthesize the extant literature to understand the magnitude of this …

[HTML][HTML] Deep learning for fake news detection: A comprehensive survey

L Hu, S Wei, Z Zhao, B Wu - AI open, 2022 - Elsevier
The information age enables people to obtain news online through various channels, yet in
the meanwhile making false news spread at unprecedented speed. Fake news exerts …

ANTi-Vax: a novel Twitter dataset for COVID-19 vaccine misinformation detection

K Hayawi, S Shahriar, MA Serhani, I Taleb, SS Mathew - Public health, 2022 - Elsevier
Abstract Objectives COVID-19 (SARS-CoV-2) pandemic has infected hundreds of millions
and inflicted millions of deaths around the globe. Fortunately, the introduction of COVID-19 …

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 …

g2tmn at constraint@ aaai2021: exploiting CT-BERT and ensembling learning for COVID-19 fake news detection

A Glazkova, M Glazkov, T Trifonov - … on​ Combating On​ line Ho​ st​ ile …, 2021 - Springer
The COVID-19 pandemic has had a huge impact on various areas of human life. Hence, the
coronavirus pandemic and its consequences are being actively discussed on social media …

Does fake news in different languages tell the same story? An analysis of multi-level thematic and emotional characteristics of news about COVID-19

L Zhou, J Tao, D Zhang - Information Systems Frontiers, 2023 - Springer
Fake news is being generated in different languages, yet existing studies are dominated by
English news. The analysis of fake news content has focused on lexical and stylometric …

DC-CNN: Dual-channel Convolutional Neural Networks with attention-pooling for fake news detection

K Ma, C Tang, W Zhang, B Cui, K Ji, Z Chen… - Applied …, 2023 - Springer
Fake news detection mainly relies on the extraction of article content features with neural
networks. However, it has brought some challenges to reduce the noisy data and redundant …

Dataset of fake news detection and fact verification: a survey

T Murayama - arXiv preprint arXiv:2111.03299, 2021 - arxiv.org
The rapid increase in fake news, which causes significant damage to society, triggers many
fake news related studies, including the development of fake news detection and fact …

Cross-lingual covid-19 fake news detection

J Du, Y Dou, C Xia, L Cui, J Ma… - … Conference on Data …, 2021 - ieeexplore.ieee.org
The COVID-19 pandemic poses a great threat to global public health. Meanwhile, there is
massive misinformation associated with the pandemic which advocates unfounded or …

Applications of machine learning for COVID-19 misinformation: a systematic review

AR Sanaullah, A Das, A Das, MA Kabir… - Social Network Analysis …, 2022 - Springer
The inflammable growth of misinformation on social media and other platforms during
pandemic situations like COVID-19 can cause significant damage to the physical and mental …