Ontology highlight
ABSTRACT: Background
The COVID-19 infodemic has been disseminating rapidly on social media and posing a significant threat to people's health and governance systems.Objective
This study aimed to investigate and analyze posts related to COVID-19 misinformation on major Chinese social media platforms in order to characterize the COVID-19 infodemic.Methods
We collected posts related to COVID-19 misinformation published on major Chinese social media platforms from January 20 to May 28, 2020, by using PythonToolkit. We used content analysis to identify the quantity and source of prevalent posts and topic modeling to cluster themes related to the COVID-19 infodemic. Furthermore, we explored the quantity, sources, and theme characteristics of the COVID-19 infodemic over time.Res
SUBMITTER: Zhang S
PROVIDER: S-EPMC7869922 | biostudies-literature | 2021 Feb
REPOSITORIES: biostudies-literature