# Stance Detection on FNC-1 (test) Source: [Stance Detection on FNC-1 (test)]() Collection index: [llms.txt]() Data updated: 2026-02-26T06:08:44.997Z Evaluation of Stance Detection performance on the test split of the Fake News Challenge FNC-1 dataset, reporting standard classification metrics. A research result applies to its stated dataset, split, metric and evaluation configuration. Compare like-for-like settings, preserve the metric's unit and direction, and distinguish paper-reported results from independent reproduction. The best result recorded here is not a claim of exhaustive, current global coverage. | Scope | Recorded value | | --- | --- | | Task | Stance Detection | | Dataset (including any stated split) | Fake News Challenge FNC-1 (test) | | Metric | Weighted Accuracy | | Unit | PERCENT | | Direction | Higher is better | | Results loaded | 10 of 10 | | Coverage | All results currently returned for this benchmark | Evaluation settings may differ between results. The original papers and recorded configurations are needed to establish comparability. A shared metric name alone does not establish an identical protocol. ## Metrics - [Weighted Accuracy](): Higher is better; unit: PERCENT. - [Macro F1](): Higher is better; unit: PERCENT. - [Accuracy](): Higher is better; unit: PERCENT. ## Recorded results | Method | Weighted Accuracy | Result date | Report paper | | --- | --- | --- | --- | | sMemNN | 0.8123 | Not recorded | 68fa64401e209131cea037b0 | | sMemNN | 0.7897 | Not recorded | 68fa64401e209131cea037b0 | | Gradient Boosting | 0.752 | Not recorded | 68fa64401e209131cea037b0 | | sMemNN | 0.7513 | Not recorded | 68fa64401e209131cea037b0 | | LSTM+CNN | 0.6021 | Not recorded | 68fa64401e209131cea037b0 | | LSTM | 0.5723 | Not recorded | 68fa64401e209131cea037b0 | | All-discuss | 0.4389 | Not recorded | 68fa64401e209131cea037b0 | | CNN+LSTM | 0.4202 | Not recorded | 68fa64401e209131cea037b0 | | CNN | 0.4066 | Not recorded | 68fa64401e209131cea037b0 | | All-unrelated | 0.3937 | Not recorded | 68fa64401e209131cea037b0 | ### sMemNN Weighted Accuracy: 0.8123. Result ID: 698c1acfc330d5bfdbca29c5. [Reporting paper]() [Method origin paper]() [Implementation]() Recorded evaluation configuration: {"Total Parameters":"110M","Trainable Parameters":"105M","enrichment":"BOW with TF.IDF"}. This record does not assert independent reproduction. ### sMemNN Weighted Accuracy: 0.7897. Result ID: 698c1acfc330d5bfdbca29c4. [Reporting paper]() [Method origin paper]() [Implementation]() Recorded evaluation configuration: {"Total Parameters":"5.5M","Trainable Parameters":"377.5K"}. This record does not assert independent reproduction. ### Gradient Boosting Weighted Accuracy: 0.752. Result ID: 698c1acfc330d5bfdbca29c2. [Reporting paper]() Recorded evaluation configuration: Not recorded. This record does not assert independent reproduction. ### sMemNN Weighted Accuracy: 0.7513. Result ID: 698c1acfc330d5bfdbca29c3. [Reporting paper]() [Method origin paper]() [Implementation]() Recorded evaluation configuration: {"Total Parameters":"5.4M","Trainable Parameters":"275.2K","Similarity type":"dot product"}. This record does not assert independent reproduction. ### LSTM+CNN Weighted Accuracy: 0.6021. Result ID: 698c1acfc330d5bfdbca29c1. [Reporting paper]() Recorded evaluation configuration: {"Total Parameters":"2.8M","Trainable Parameters":"281.5K"}. This record does not assert independent reproduction. ### LSTM Weighted Accuracy: 0.5723. Result ID: 698c1acfc330d5bfdbca29bf. [Reporting paper]() Recorded evaluation configuration: {"Total Parameters":"2.8M","Trainable Parameters":"261.3K"}. This record does not assert independent reproduction. ### All-discuss Weighted Accuracy: 0.4389. Result ID: 698c1acfc330d5bfdbca29bd. [Reporting paper]() Recorded evaluation configuration: Not recorded. This record does not assert independent reproduction. ### CNN+LSTM Weighted Accuracy: 0.4202. Result ID: 698c1acfc330d5bfdbca29c0. [Reporting paper]() [Method origin paper]() [Implementation]() Recorded evaluation configuration: {"Total Parameters":"4.2M","Trainable Parameters":"361.5K"}. This record does not assert independent reproduction. ### CNN Weighted Accuracy: 0.4066. Result ID: 698c1acfc330d5bfdbca29be. [Reporting paper]() Recorded evaluation configuration: {"Total Parameters":"2.7M","Trainable Parameters":"188.7K"}. This record does not assert independent reproduction. ### All-unrelated Weighted Accuracy: 0.3937. Result ID: 698c1acfc330d5bfdbca29bc. [Reporting paper]() Recorded evaluation configuration: Not recorded. This record does not assert independent reproduction. Page 1 of 1. This is an index page, not the full collection.