Datasets › UPFD-POL

UPFD-POL (User Preference-aware Fake News Detection)

Introduced by Yingtong Dou et al. in User Preference-aware Fake News Detection25 Apr 2021 archive 2025-07-28

The PolitiFact variant of the UPFD dataset for benchmarking.

Please refer to the UPFD dataset for more details of the data.

Benchmarks archive 2025-07-28

All 1 leaderboard 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)PaperCode
Graph Classification UPFD-POL HGFND Accuracy (%) 91.13± 1.89 Nothing Stands Alone: Relational Fake News Detection... ujeong1/IEEEBigdata22_HGFND 8 Compare

Papers archive 2025-07-28

2 shown of 2 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 2. The Syntology column is from Syntology's graph (read 2026-09-24), stated per sample; it is not part of any archive number.

DateSamples run Syntology
Nothing Stands Alone: Relational Fake News Detection with Hypergraph Neural Networks 1 1 24 Dec 2022 not harvested
User Preference-aware Fake News Detection 2 7 25 Apr 2021 ran 1 of 1 samples (0 unverified)

Dataset loaders archive 2025-07-28

1 loader as listed in the archive; links are outbound and not re-checked here.

Tasks archive 2025-07-28

License archive 2025-07-28

Apache-2.0

Modalities archive 2025-07-28

Languages archive 2025-07-28

Variants archive 2025-07-28

  • UPFD-POL

1 variant name, as the archive lists them.

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