approved
GATE Cloud COVID-19 Misinformation Categoriser

A machine learning classifier trained to categorise claims about COVID-19 into 10 categories proposed by the Reuters Institute for the Study of Journalism - Public authority actions, policy, and communications; Community spread and impact; Medical advice and self-treatments; Claims about prominent actors; Conspiracy theories; Virus transmission; Virus origin and properties; Public preparedness, protests, and civil disobedience; Vaccines, medical treatments, and tests; Other. The service returns the most likely predicted class for each text

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  • Method Enginemethod-engine

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Additional Info
Field Value
Accessibility Virtual Access
AccessibilityMode OnLine Access
Availability On-Line
Basic rights Other rights
CreationDate 2021-05-14
Creator Song, Xingyi, x.song@sheffield.ac.uk
Field/Scope of use Non-commercial only
Group Societal Debates and Misinformation
Owner Roberts, Ian, i.roberts@sheffield.ac.uk
Sublicense rights No
Territory of use World Wide
Thematic Cluster Text and Social Media Mining [TSMM]
system:type Method
Management Info
Field Value
Author Roberts Ian
Maintainer Roberts Ian
Version 1
Last Updated 11 September 2023, 11:33 (CEST)
Created 22 June 2023, 16:07 (CEST)