Exploring how online responses change in response to debunking messages about COVID-19 on WhatsApp

Exploring how online responses change in response to debunking messages about COVID-19 on WhatsApp

Purpose: The COVID-19 pandemic has spurred a concurrent outbreak of false information online. Debunking false information about a health crisis is critical as misinformation can trigger protests or panic, which necessitates a better understanding of it. This exploratory study examined the effects of...

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Bibliographic Details
Main Authors: CHEN, Xingyu Ken, NA, Jin-Cheon, TAN, Luke Kien-Weng, CHONG, Mark, CHOY, Murphy
Format: text
Language:English
Published: Institutional Knowledge at Singapore Management University 2022
Subjects:
COVID-19
Debunking
Aspect-based sentiment analysis
Information distortion
Source credibility
Deep learning
Asian Studies
Health Communication
Public Health
Social Media
Online Access:https://ink.library.smu.edu.sg/lkcsb_research/6973
https://ink.library.smu.edu.sg/context/lkcsb_research/article/7972/viewcontent/DebunkingMessagesAboutCOVID_2022_av.pdf
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Institution: Singapore Management University
Language: English

Internet

https://ink.library.smu.edu.sg/lkcsb_research/6973
https://ink.library.smu.edu.sg/context/lkcsb_research/article/7972/viewcontent/DebunkingMessagesAboutCOVID_2022_av.pdf

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