Datasets › RAWFC

RAWFC

Introduced by Zhiwei Yang et al. in A Coarse-to-fine Cascaded Evidence-Distillation Neural Network for Explainable Fake News Detection29 Sep 2022 archive 2025-07-28

For RAWFC, we constructed it from scratch by collecting the claims from Snopes and relevant raw reports by retrieving claim keywords. To alleviate the dependency of fact-checked reports, RAWFC was constructed by using raw reports (from scratch), where gold labels refer to Snopes. Each instance in the train/val/test set is presented as a signle file.

Provide:

  • A novel benchmark dataset for explainable fake news detection

Benchmarks archive 2025-07-28

All 1 leaderboard whose dataset resolves to this page shown (sort by any header). "First row" is the archive's own first row at snapshot, in the archive's row order; nothing here re-ranks and metric direction is not asserted.

First row (archive order)PaperCode
Fake News Detection RAWFC Persuasive Writing Strategy F1 55.8 Using Persuasive Writing Strategies to Explain and... hlr/misinformation-detection 6 Compare

Papers archive 2025-07-28

3 shown of 3 papers with a leaderboard row on this dataset's benchmarks, newest first. The archive's own "papers using this dataset" list was never published, so this is the benchmark-backed subset; the archive's count for this dataset is 6. The Syntology column is from Syntology's graph (read 2026-09-24), stated per sample; it is not part of any archive number.

Dataset loaders archive 2025-07-28

No loader listed in the archive.

Tasks archive 2025-07-28

License archive 2025-07-28

Apache-2.0 license

Modalities archive 2025-07-28

No modality tagged.

Languages archive 2025-07-28

No language tagged.

Variants archive 2025-07-28

  • LIAR

1 variant name, as the archive lists them.

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