{"url":"/dataset/weibo21","name":"Weibo21","full_name":null,"description_markdown":"**Weibo21** is a benchmark of fake news dataset for multi-domain fake news detection (MFND) with domain label annotated, which consists of 4,488 fake news and 4,640 real news from 9 different domains.","description_withheld":null,"homepage":"https://github.com/kennqiang/MDFEND-Weibo21","introduced_date":"2022-01-04","introduced_date_note":null,"introduced_by":{"paper":"/paper/mdfend-multi-domain-fake-news-detection","title":"MDFEND: Multi-domain Fake News Detection","first_author":"Qiong Nan","url":null},"license":null,"modalities":[{"name":"Texts","url":"/datasets/modality/texts"}],"tasks":[{"name":"Fake News Detection","url":"/task/fake-news-detection","datasets_with_task":"/datasets/task/fake-news-detection"}],"languages":[{"name":"Chinese","url":"/datasets/language/chinese"}],"variants":["Weibo21"],"data_loaders":[{"repo":"https://github.com/kennqiang/mdfend-weibo21","url":"https://github.com/kennqiang/mdfend-weibo21","frameworks":["pytorch"]}],"num_papers_in_archive":18,"source":{"archive":"pwc-archive (Hugging Face), CC BY-SA 4.0","snapshot":"2025-07-28"},"benchmarks":[],"papers_with_a_benchmark_row":[],"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."}