Infodemic and fake news–A comprehensive overview of its global magnitude during the COVID-19 pandemic in 2021: A scoping review
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 …
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
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 …
the meanwhile making false news spread at unprecedented speed. Fake news exerts …
ANTi-Vax: a novel Twitter dataset for COVID-19 vaccine misinformation detection
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 …
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
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 …
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 …
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
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 …
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
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 …
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 …
fake news related studies, including the development of fake news detection and fact …
Cross-lingual covid-19 fake news detection
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 …
massive misinformation associated with the pandemic which advocates unfounded or …
Applications of machine learning for COVID-19 misinformation: a systematic review
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 …
pandemic situations like COVID-19 can cause significant damage to the physical and mental …