Datasets › FNC-1
FNC-1 (Fake News Challenge Stage 1)
FNC-1 was designed as a stance detection dataset and it contains 75,385 labeled headline and article pairs. The pairs are labelled as either agree, disagree, discuss, and unrelated. Each headline in the dataset is phrased as a statement
Source: Investigating Rumor News Using Agreement-Aware Search Image Source: http://www.fakenewschallenge.org/
Benchmarks archive 2025-07-28
All 2 leaderboards 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) | Paper | Code | ||||
|---|---|---|---|---|---|---|
| Fake News Detection | FNC-1 | Sepúlveda-Torres R., Vicente M., Saquete E., Lloret E., Palomar M. (2021) Weighted Accuracy 90.73 | Exploring Summarization to Enhance Headline Stance Detection | rsepulveda911112/Headline-Stance-Detection | 10 | Compare |
| Stance Detection | FNC-1 | TESTED F1 83.17 | Topic-Guided Sampling For Data-Efficient Multi-Domain... | copenlu/TESTED +1 | 2 | Compare |
Papers archive 2025-07-28
8 shown of 8 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 19. The Syntology column is from Syntology's graph (read 2026-09-24), stated per sample; it is not part of any archive number.
| Date | Samples run Syntology | |||
|---|---|---|---|---|
| Explainable Deep Learning: A Visual Analytics Approach with Transition Matrices | 1 | 1 | 29 Mar 2024 | not harvested |
| Topic-Guided Sampling For Data-Efficient Multi-Domain Stance Detection | 2 | 1 | 1 Jun 2023 | not harvested |
| Combination Of Convolution Neural Networks And Deep Neural Networks For Fake News Detection | 0 | 1 | 15 Oct 2022 | not harvested |
| Exploring Summarization to Enhance Headline Stance Detection | 1 | 1 | 20 Jun 2021 | not harvested |
| Combining Similarity Features and Deep Representation Learning for Stance Detection in the Context of Checking Fake News | 3 | 1 | 2 Nov 2018 | not harvested |
| Automatic Stance Detection Using End-to-End Memory Networks | 0 | 2 | 20 Apr 2018 | not harvested |
| On the Benefit of Combining Neural, Statistical and External Features for Fake News Identification | 1 | 4 | 11 Dec 2017 | not harvested |
| A simple but tough-to-beat baseline for the Fake News Challenge stance detection task | 9 | 1 | 11 Jul 2017 | not harvested |
Dataset loaders archive 2025-07-28
No loader listed in the archive.
Tasks archive 2025-07-28
License archive 2025-07-28
No licence recorded in the archive. Absence here is not a statement about the dataset's terms.
Modalities archive 2025-07-28
Languages archive 2025-07-28
Variants archive 2025-07-28
- FNC-1
1 variant name, as the archive lists them.
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