Published July 10, 2023 | Version v1
Dataset Open

COVID-19 Misinformation Dataset

Authors/Creators

  • 1. University of Sheffield

Description

The dataset and the annotation codebook from "Categorising Fine-to-Coarse Grained Misinformation: An Empirical Study of the COVID-19 Infodemic" (accepted at RANLP 2023)

Files

Annotation_guidelines (1).pdf

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Additional details

Funding

UK Research and Innovation
XAIvsDisinfo: eXplainable AI Methods for Categorisation and Analysis of COVID-19 Vaccine Disinformation and Online Debates EP/W011212/1
European Commission
SoBigData-PlusPlus - SoBigData++: European Integrated Infrastructure for Social Mining and Big Data Analytics 871042