{"url":"/dataset/slashdot","name":"Slashdot","full_name":null,"description_markdown":"The **Slashdot** dataset is a relational dataset obtained from Slashdot. Slashdot is a technology-related news website know for its specific user community. The website features user-submitted and editor-evaluated current primarily technology oriented news. In 2002 Slashdot introduced the Slashdot Zoo feature which allows users to tag each other as friends or foes. The network cotains friend/foe links between the users of Slashdot. The network was obtained in February 2009.\r\n\r\nSource: [http://snap.stanford.edu/data/soc-sign-Slashdot090221.html](http://snap.stanford.edu/data/soc-sign-Slashdot090221.html)","description_withheld":null,"homepage":"http://snap.stanford.edu/data/soc-sign-Slashdot090221.html","introduced_date":"2010-01-01","introduced_date_note":null,"introduced_by":{"paper":null,"title":"Signed Networks in Social Media","first_author":null,"url":"https://dl.acm.org/doi/10.1145/1753326.1753532"},"license":{"name":"Unknown","url":null},"modalities":[{"name":"Graphs","url":"/datasets/modality/graphs"}],"tasks":[{"name":"Multi-Label Text Classification","url":"/task/multi-label-text-classification","datasets_with_task":"/datasets/task/multi-label-text-classification"},{"name":"Link Sign Prediction","url":"/task/link-sign-prediction","datasets_with_task":"/datasets/task/link-sign-prediction"}],"languages":[],"variants":["Slashdot"],"data_loaders":[],"num_papers_in_archive":57,"source":{"archive":"pwc-archive (Hugging Face), CC BY-SA 4.0","snapshot":"2025-07-28"},"benchmarks":[{"leaderboard":"/sota/link-sign-prediction-on-slashdot","task":"Link Sign Prediction","dataset_variant":"Slashdot","rows":2,"metrics":["AUC","Accuracy","Macro-F1"],"first_row_in_archive_order":{"model":"SiGAT","paper":"/paper/signed-graph-attention-networks","metrics":{"AUC":"0.8864","Accuracy":"0.8482","Macro-F1":"0.766"},"code_links":[{"title":"huangjunjie95/SiGAT","url":"https://github.com/huangjunjie95/SiGAT"}]},"note":"rows are the archive's own order at snapshot; nothing here re-ranks them"},{"leaderboard":"/sota/multi-label-text-classification-on-slashdot-1","task":"Multi-Label Text Classification","dataset_variant":"Slashdot","rows":1,"metrics":["Micro-F1"],"first_row_in_archive_order":{"model":"MAGNET","paper":"/paper/magnet-multi-label-text-classification-using","metrics":{"Micro-F1":"56.8"},"code_links":[{"title":"adrinta/MAGNET","url":"https://github.com/adrinta/MAGNET"},{"title":"akash18tripathi/MAGNET-Multi-Label-Text-Classi-cation-using-Attention-based-Graph-Neural-Network","url":"https://github.com/akash18tripathi/MAGNET-Multi-Label-Text-Classi-cation-using-Attention-based-Graph-Neural-Network"}]},"note":"rows are the archive's own order at snapshot; nothing here re-ranks them"}],"papers_with_a_benchmark_row":[{"paper":"/paper/magnet-multi-label-text-classification-using","title":"MAGNET: Multi-Label Text Classification using Attention-based Graph Neural Network","date":"2020-02-24","rows_on_this_dataset":1,"code_links":2,"syntology":null},{"paper":"/paper/signed-graph-attention-networks","title":"Signed Graph Attention Networks","date":"2019-06-26","rows_on_this_dataset":1,"code_links":1,"syntology":null},{"paper":"/paper/signed-graph-convolutional-network-1","title":"Signed Graph Convolutional Network","date":null,"rows_on_this_dataset":1,"code_links":2,"syntology":null}],"syntology_totals":{"read_at":"2026-09-24T18:15:14+00:00","papers_with_samples":0,"samples_harvested":0,"samples_ran":0,"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."}