Papers by Yuki Kishi
Fake News Detection Strategies under Dataset Bias: Using Large-scale Coarse-grained Labels (2026.eacl-srw)
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| Challenge: | Existing datasets differ substantially in content distributions and annotation policies, complicating fair evaluation and generalization assessment. |
| Approach: | They quantitatively analyze dataset bias across multiple public fake news datasets with different annotation granularities, including article-level and publisher-level labels. |
| Outcome: | The proposed approach improves detection performance under in-dataset and cross-data set evaluation settings. |