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 …

Fake news (FN) on social media (SM) rose to prominence in 2016 during the United States
of America presidential election, leading people to question science, true news (TN), and …

This study explores the factors that influence the dissemination process of and public
susceptibility to fake news amidst COVID-19. By adopting a qualitative approach that draws …

While past research has focused on the benefits of social media during pandemics, this
study emphasizes the possible negative effects of social media use among healthcare …

Recent social networks' misinformation mitigation approaches tend to investigate how to
reduce misinformation by considering a whole-network statistical scale. However …

Current methods of operationalizing concepts of misinformation in machine learning are
often problematic given idiosyncrasies in their success conditions compared to other models …

Intervention-based mitigation methods have become a common way to fight misinformation
on Social Media (SM). However, these methods depend on how information spreads are …

In precision medicine, especially in the pharmacodynamic area, the lack of an adequate
long‐term drug effect monitoring model leads to a quite low robustness to the instant drug …

It has been a decade since Japan had a catastrophe, the Great East Japan Earthquake and
Tsunami on 11 March 2011. It caused severe damage to the northern coast of the main …

Während der COVID-19-Pandemie hat sich besonders deutlich gezeigt, welche Folgen
falsche und schädliche Gesundheitsinformationen haben und welche rasante Verbreitung …