{"url":"/dataset/twitter-mediaeval","name":"Twitter MediaEval","full_name":"MediaEval Benchmarking Initiative for Multimedia Evaluation","description_markdown":"The task addresses the problem of the appearance and propagation of posts that share misleading multimedia content (images or video).\r\nIn the context of the task, different types of misleading use are considered:\r\n\r\n1. Reposting of real multimedia, such as real photos from the past re-posted as being associated to a current event,\r\n2. Digitally manipulated multimedia,\r\n3. Synthetic multimedia, such as artworks or snapshots presented as real imagery.\r\n\r\nSource: http://www.multimediaeval.org/mediaeval2016/verifyingmultimediause/","description_withheld":null,"homepage":"http://www.multimediaeval.org/mediaeval2015/verifyingmultimediause/index.html","introduced_date":null,"introduced_date_note":null,"introduced_by":null,"license":null,"modalities":[{"name":"Images","url":"/datasets/modality/images"},{"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":"English","url":"/datasets/language/english"}],"variants":["Twitter MediaEval"],"data_loaders":[],"num_papers_in_archive":1,"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."}