{"url":"/dataset/upfd-gos","name":"UPFD-GOS","full_name":"User Preference-aware Fake News Detection","description_markdown":"The Gossipcop variant of the [UPFD](https://paperswithcode.com/dataset/upfd) dataset for benchmarking.\r\n\r\nPlease refer to the [UPFD](https://paperswithcode.com/dataset/upfd) dataset for more details of the data.","description_withheld":null,"homepage":"https://github.com/safe-graph/GNN-FakeNews","introduced_date":"2021-04-25","introduced_date_note":null,"introduced_by":{"paper":"/paper/user-preference-aware-fake-news-detection","title":"User Preference-aware Fake News Detection","first_author":"Yingtong Dou","url":null},"license":{"name":"Apache-2.0","url":"https://github.com/safe-graph/GNN-FakeNews/blob/main/LICENSE"},"modalities":[{"name":"Texts","url":"/datasets/modality/texts"},{"name":"Graphs","url":"/datasets/modality/graphs"}],"tasks":[{"name":"Graph Classification","url":"/task/graph-classification","datasets_with_task":"/datasets/task/graph-classification"},{"name":"Fake News Detection","url":"/task/fake-news-detection","datasets_with_task":"/datasets/task/fake-news-detection"},{"name":"Misinformation","url":"/task/misinformation","datasets_with_task":"/datasets/task/misinformation"}],"languages":[{"name":"English","url":"/datasets/language/english"}],"variants":["UPFD-GOS"],"data_loaders":[{"repo":"https://github.com/safe-graph/GNN-FakeNews","url":"https://github.com/safe-graph/GNN-FakeNews","frameworks":["pytorch"]}],"num_papers_in_archive":3,"source":{"archive":"pwc-archive (Hugging Face), CC BY-SA 4.0","snapshot":"2025-07-28"},"benchmarks":[{"leaderboard":"/sota/graph-classification-on-upfd-gos","task":"Graph Classification","dataset_variant":"UPFD-GOS","rows":8,"metrics":["Accuracy (%)"],"first_row_in_archive_order":{"model":"UPFD-SAGE","paper":"/paper/user-preference-aware-fake-news-detection","metrics":{"Accuracy (%)":"97.54"},"code_links":[{"title":"safe-graph/GNN-FakeNews","url":"https://github.com/safe-graph/GNN-FakeNews"},{"title":"code-implementation1/Code9","url":"https://github.com/code-implementation1/Code9/tree/main/gat"}]},"note":"rows are the archive's own order at snapshot; nothing here re-ranks them"}],"papers_with_a_benchmark_row":[{"paper":"/paper/nothing-stands-alone-relational-fake-news-2","title":"Nothing Stands Alone: Relational Fake News Detection with Hypergraph Neural Networks","date":"2022-12-24","rows_on_this_dataset":1,"code_links":1,"syntology":null},{"paper":"/paper/user-preference-aware-fake-news-detection","title":"User Preference-aware Fake News Detection","date":"2021-04-25","rows_on_this_dataset":7,"code_links":2,"syntology":{"read_at":"2026-09-24T18:15:14+00:00","samples_harvested":1,"samples_ran":1,"samples_unverified":0,"pointer_only_for_licence":0,"claim":"Per-sample execution on synthesized fixtures; not a correctness claim."}}],"syntology_totals":{"read_at":"2026-09-24T18:15:14+00:00","papers_with_samples":1,"samples_harvested":1,"samples_ran":1,"samples_unverified":0,"pointer_only_for_licence":0,"papers_with_no_sample_that_ran":0,"note":"the per-paper counts above, summed; not a rate"},"papers_note":"The archive never published its papers-using-dataset list; these are papers with a leaderboard row on this dataset's benchmarks."}