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[HTML][HTML] COVID-19 misinformation online and health literacy: a brief overview
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 …
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
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 …
Insurance fraud detection: Evidence from artificial intelligence and machine learning
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 …
predictive models. The feature selection is performed utilizing a publicly available car …
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 …
Application of deep learning techniques in diagnosis of covid-19 (coronavirus): a systematic review
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 …
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
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 …
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
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 …
(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
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 …
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
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 …
allowing people to seek and spread information more quickly and easily. However, the rise …
Machine‐learned HASDM thermospheric mass density model with uncertainty quantification
A thermospheric neutral mass density model with robust and reliable uncertainty estimates
is developed based on the Space Environment Technologies (SET) High Accuracy Satellite …
is developed based on the Space Environment Technologies (SET) High Accuracy Satellite …