{"url":"/dataset/banmani","name":"BanMANI","full_name":null,"description_markdown":"A Dataset to Identify Manipulated Social Media News in Bangla\r\n\r\nWe construct a publicly available Bangla dataset of 800 news-related social media items that are annotated as manipulated or not relative to 500 reference news articles. We present a semi-automatic (use both human and LLM) method for generating such a dataset, which allows scalable dataset collection using annotators efficiently for languages with few available NLP tools.","description_withheld":null,"homepage":"","introduced_date":"2023-11-05","introduced_date_note":null,"introduced_by":{"paper":"/paper/banmani-a-dataset-to-identify-manipulated","title":"BanMANI: A Dataset to Identify Manipulated Social Media News in Bangla","first_author":"Mahammed Kamruzzaman","url":null},"license":null,"modalities":[],"tasks":[{"name":"Fake News Detection","url":"/task/fake-news-detection","datasets_with_task":"/datasets/task/fake-news-detection"}],"languages":[{"name":"Bengali","url":"/datasets/language/bengali"}],"variants":["BanMANI"],"data_loaders":[],"num_papers_in_archive":2,"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."}