The False COVID-19 Narratives That Keep Being Debunked: A Spatiotemporal Analysis
Iknoor Singh, Kalina Bontcheva, and Carolina Scarton

TL;DR
This study analyzes the spread and persistence of false COVID-19 narratives across countries and platforms, highlighting repeated debunking efforts and proposing a multilingual debunk search tool to optimize fact-checker resources.
Contribution
It provides a comprehensive spatiotemporal analysis of COVID-19 misinformation debunks and introduces a multilingual search tool to improve fact-checking efficiency.
Findings
False narratives spread across countries and platforms over months.
Medical advice misinformation has the highest recurring debunking rate.
Repeated debunking leads to resource wastage, suggesting need for better tools.
Abstract
The onset of the COVID-19 pandemic led to a global infodemic that has brought unprecedented challenges for citizens, media, and fact-checkers worldwide. To address this challenge, over a hundred fact-checking initiatives worldwide have been monitoring the information space in their countries and publishing regular debunks of viral false COVID-19 narratives. This study examines the database of the CoronaVirusFacts Alliance, which contains 10,381 debunks related to COVID-19 published in multiple languages by different fact-checking organisations. Our spatiotemporal analysis reveals that similar or nearly duplicate false COVID-19 narratives have been spreading in multiple modalities and on various social media platforms in different countries, sometimes as much as several months after the first debunk of that narrative has been published by an International Fact-checking Network (IFCN)…
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Taxonomy
TopicsMisinformation and Its Impacts · Hate Speech and Cyberbullying Detection · Sentiment Analysis and Opinion Mining
