Datasets › CoVaxLies v1

CoVaxLies v1

Introduced by Maxwell A. Weinzierl et al. in Automatic Detection of COVID-19 Vaccine Misinformation with Graph Link Prediction26 Nov 2021 archive 2025-07-28

CoVaxLies v1 includes 17 known Misinformation Targets (MisTs) found on Twitter about the covid-19 vaccines. Language experts annotated tweets as Relevant or Not Relevant, and then further annotated Relevant tweets with Stance towards each MisT. This collection is a first step in providing large-scale resources for misinformation detection and misinformation stance identification.

Benchmarks archive 2025-07-28

No leaderboard in the archive resolves to this dataset.

Papers archive 2025-07-28

No paper in the archive has a leaderboard row on this dataset; the archive counts 3 papers for it but never published that list.

Dataset loaders archive 2025-07-28

No loader listed in the archive.

Tasks archive 2025-07-28

License archive 2025-07-28

Apache License Version 2.0

Modalities archive 2025-07-28

Languages archive 2025-07-28

Variants archive 2025-07-28

  • CoVaxLies v1

1 variant name, as the archive lists them.

Report a problem or propose a change · a person checks every report against the paper or source before anything changes; decisions are listed on /corrections