[HTML][HTML] COVID-19 misinformation online and health literacy: a brief overview

S Bin Naeem, MN Kamel Boulos - International journal of environmental …, 2021 - mdpi.com
Low digital health literacy affects large percentages of populations around the world and is a
direct contributor to the spread of COVID-19-related online misinformation (together with …

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

Insurance fraud detection: Evidence from artificial intelligence and machine learning

F Aslam, AI Hunjra, Z Ftiti, W Louhichi… - Research in International …, 2022 - Elsevier
This study proposes a framework for fraud detection in the auto insurance industry by using
predictive models. The feature selection is performed utilizing a publicly available car …

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 …

Application of deep learning techniques in diagnosis of covid-19 (coronavirus): a systematic review

YH Bhosale, KS Patnaik - Neural processing letters, 2023 - Springer
Covid-19 is now one of the most incredibly intense and severe illnesses of the twentieth
century. Covid-19 has already endangered the lives of millions of people worldwide due to …

BERT-deep CNN: State of the art for sentiment analysis of COVID-19 tweets

JH Joloudari, S Hussain, MA Nematollahi… - Social Network Analysis …, 2023 - Springer
The COVID-19 pandemic has led to the emergence of social media platforms as crucial
channels for the dissemination of information and public opinion. Comprehending the …

COVID-19 outbreak: An ensemble pre-trained deep learning model for detecting informative tweets

SJ Malla, PJA Alphonse - Applied Soft Computing, 2021 - Elsevier
Abstract On 11 March 2020, the (WHO) World Health Organization declared COVID-19
(CoronaVirus Disease 2019) as a pandemic. A further crisis has manifested mass fear and …

An efficient multi-thresholding based COVID-19 CT images segmentation approach using an improved equilibrium optimizer

EH Houssein, BE Helmy, D Oliva, P Jangir… - … Signal Processing and …, 2022 - Elsevier
Optimization is the process of searching for the optimal (best-so-far) solution among a wide
range of solutions. Besides, in the last two decades, a family of algorithms known as …

Combating health misinformation in social media: Characterization, detection, intervention, and open issues

C Chen, H Wang, M Shapiro, Y **ao, F Wang… - arxiv preprint arxiv …, 2022 - arxiv.org
Social media has been one of the main information consumption sources for the public,
allowing people to seek and spread information more quickly and easily. However, the rise …

Machine‐learned HASDM thermospheric mass density model with uncertainty quantification

RJ Licata, PM Mehta, WK Tobiska… - Space Weather, 2022 - Wiley Online Library
A thermospheric neutral mass density model with robust and reliable uncertainty estimates
is developed based on the Space Environment Technologies (SET) High Accuracy Satellite …