COVID-19 Misinformation Categoriser

A machine learning classifier trained to categorise COVID-19 misinformation into 10 categories. These were 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

Further information on the classifier development can be found in this blog post.

A video demo of how the classifier can be used to organise automatically COVID-19 misinformation into categories for fast exploration and insights is available here.

Default annotations
:MisinfoClass Misinformation category
600 free requests / day
Larger batches GBP0.80 / CPU hour

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Single documents

You can process up to 600 documents per day free of charge using the REST API, at an average rate of 2 documents/sec. Higher quotas are available for research users by arrangement, contact us for details.

The API endpoint for this pipeline is:

https://cloud-api.gate.ac.uk/process-document/covid19-misinfo

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Batches of documents

You can process any amount of data with this pipeline on a pay-as-you-go basis, for GBP0.80 per hour. This can be data you upload yourself, data you collected from Twitter, or the results of a previous job.

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