{"url":"/dataset/context-specific-spam","name":"Traditional and Context-specific Spam Twitter","full_name":null,"description_markdown":"This data set is being released to support the spam and context-specific spam detection tasks on Twitter data.\r\n\r\nThere are three sets of tweets, parenting-related, #MeToo-related (a social movement focused on tackling issues related to sexual harassment and sexual assault of women), and gun-violence-related tweets. Each set contains 5,000 tweets. These tweets are original tweets in English. There are no retweets, quoted tweets or non-English tweets.","description_withheld":null,"homepage":"https://github.com/GU-DataLab/context-spam","introduced_date":"2022-06-09","introduced_date_note":null,"introduced_by":{"paper":"/paper/traditional-and-context-specific-spam","title":"Traditional and context-specific spam detection in low resource settings","first_author":"Kornraphop Kawintiranon","url":null},"license":{"name":"GNU General Public License v3.0","url":"https://github.com/GU-DataLab/context-spam"},"modalities":[{"name":"Texts","url":"/datasets/modality/texts"}],"tasks":[{"name":"Spam detection","url":"/task/spam-detection","datasets_with_task":"/datasets/task/spam-detection"},{"name":"Context-specific Spam Detection","url":"/task/context-specific-spam-detection","datasets_with_task":"/datasets/task/context-specific-spam-detection"},{"name":"Traditional Spam Detection","url":"/task/traditional-spam-detection","datasets_with_task":"/datasets/task/traditional-spam-detection"}],"languages":[{"name":"English","url":"/datasets/language/english"}],"variants":["Traditional and Context-specific Spam Twitter"],"data_loaders":[],"num_papers_in_archive":1,"source":{"archive":"pwc-archive (Hugging Face), CC BY-SA 4.0","snapshot":"2025-07-28"},"benchmarks":[{"leaderboard":"/sota/context-specific-spam-detection-on-context","task":"Context-specific Spam Detection","dataset_variant":"Traditional and Context-specific Spam Twitter","rows":1,"metrics":["Avg F1"],"first_row_in_archive_order":{"model":"BERT","paper":"/paper/traditional-and-context-specific-spam","metrics":{"Avg F1":"0.8408"},"code_links":[{"title":"GU-DataLab/context-spam","url":"https://github.com/GU-DataLab/context-spam"}]},"note":"rows are the archive's own order at snapshot; nothing here re-ranks them"},{"leaderboard":"/sota/spam-detection-on-context-specific-spam","task":"Spam detection","dataset_variant":"Traditional and Context-specific Spam Twitter","rows":1,"metrics":["Avg F1"],"first_row_in_archive_order":{"model":"BERT","paper":"/paper/traditional-and-context-specific-spam","metrics":{"Avg F1":"0.8553"},"code_links":[{"title":"GU-DataLab/context-spam","url":"https://github.com/GU-DataLab/context-spam"}]},"note":"rows are the archive's own order at snapshot; nothing here re-ranks them"},{"leaderboard":"/sota/traditional-spam-detection-on-context","task":"Traditional Spam Detection","dataset_variant":"Traditional and Context-specific Spam Twitter","rows":1,"metrics":["Avg F1"],"first_row_in_archive_order":{"model":"BERT","paper":"/paper/traditional-and-context-specific-spam","metrics":{"Avg F1":"0.9079"},"code_links":[{"title":"GU-DataLab/context-spam","url":"https://github.com/GU-DataLab/context-spam"}]},"note":"rows are the archive's own order at snapshot; nothing here re-ranks them"}],"papers_with_a_benchmark_row":[{"paper":"/paper/traditional-and-context-specific-spam","title":"Traditional and context-specific spam detection in low resource settings","date":"2022-06-09","rows_on_this_dataset":3,"code_links":1,"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."}