Applications of artificial intelligence in battling against covid-19: A literature review

M Tayarani - Chaos, Solitons and Fractals, 2020 - researchprofiles.herts.ac.uk
Colloquially known as coronavirus, the Severe Acute Respiratory Syndrome CoronaVirus 2
(SARS-CoV-2), that causes CoronaVirus Disease 2019 (COVID-19), has become a matter of …

[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 …

Characterizing covid-19 misinformation communities using a novel twitter dataset

SA Memon, KM Carley - arXiv preprint arXiv:2008.00791, 2020 - arxiv.org
From conspiracy theories to fake cures and fake treatments, COVID-19 has become a hot-
bed for the spread of misinformation online. It is more important than ever to identify methods …

Multimodal fake news detection through data augmentation-based contrastive learning

J Hua, X Cui, X Li, K Tang, P Zhu - Applied Soft Computing, 2023 - Elsevier
During the information exploding era, news can be created or edited purposely for
promoting the spreading of social influence. However, unverified or fabricated news can …

Memory-guided multi-view multi-domain fake news detection

Y Zhu, Q Sheng, J Cao, Q Nan, K Shu… - … on Knowledge and …, 2022 - ieeexplore.ieee.org
The wide spread of fake news is increasingly threatening both individuals and society. Great
efforts have been made for automatic fake news detection on a single domain (eg, politics) …

Coaid-deep: An optimized intelligent framework for automated detecting covid-19 misleading information on twitter

DS Abdelminaam, FH Ismail, M Taha, A Taha… - Ieee …, 2021 - ieeexplore.ieee.org
COVID-19 has affected all peoples' lives. Though COVID-19 is on the rising, the existence of
misinformation about the virus also grows in parallel. Additionally, the spread of …

[HTML][HTML] Social media mining under the COVID-19 context: Progress, challenges, and opportunities

X Huang, S Wang, M Zhang, T Hu, A Hohl… - International Journal of …, 2022 - Elsevier
Social media platforms allow users worldwide to create and share information, forging vast
sensing networks that allow information on certain topics to be collected, stored, mined, and …

Fighting the COVID-19 infodemic: Modeling the perspective of journalists, fact-checkers, social media platforms, policy makers, and the society

F Alam, S Shaar, F Dalvi, H Sajjad, A Nikolov… - arXiv preprint arXiv …, 2020 - arxiv.org
With the emergence of the COVID-19 pandemic, the political and the medical aspects of
disinformation merged as the problem got elevated to a whole new level to become the first …

Propagation2Vec: Embedding partial propagation networks for explainable fake news early detection

A Silva, Y Han, L Luo, S Karunasekera… - Information Processing & …, 2021 - Elsevier
Many recent studies have demonstrated that the propagation patterns of news on social
media can facilitate the detection of fake news. Most of these studies rely on the complete …