Understanding How and by Whom COVID-19 Misinformation is Spread on Social Media: Coding and Network Analyses.

ABSTRACT:

Background

During global health crises such as the COVID-19 pandemic, rapid spread of misinformation on social media has occurred. The misinformation associated with COVID-19 has been analyzed, but little attention has been paid to developing a comprehensive analytical framework to study its spread on social media.

Objective

We propose an elaboration likelihood model-based theoretical model to understand the persuasion process of COVID-19-related misinformation on social media.

Methods

The proposed model incorporates the central route feature (content feature) and peripheral features (including creator authority, social proof, and emotion). The central-level COVID-19-related misinformation feature includes five topics: medical information, social issues and people's l

SUBMITTER: Zhao Y 

PROVIDER: S-EPMC9217148 | biostudies-literature | 2022 Jun

REPOSITORIES: biostudies-literature