{"url":"/dataset/secim2023","name":"Secim2023","full_name":null,"description_markdown":"**Secim2023** is a comprehensive dataset for social media researchers to study the upcoming election, develop tools to prevent online manipulation, and gather novel information to inform the public.\r\n\r\nSource: [#Secim2023: First Public Dataset for Studying Turkish General Election](https://arxiv.org/pdf/2211.13121v1.pdf)\r\n\r\nImage Source: [https://arxiv.org/pdf/2211.13121v1.pdf](https://arxiv.org/pdf/2211.13121v1.pdf)","description_withheld":null,"homepage":"https://github.com/ViralLab/Secim2023_Dataset","introduced_date":"2022-11-22","introduced_date_note":null,"introduced_by":{"paper":"/paper/secim2023-first-public-dataset-for-studying","title":"#Secim2023: First Public Dataset for Studying Turkish General Election","first_author":"Ali Najafi","url":null},"license":{"name":"GPL-3.0 license","url":"https://github.com/ViralLab/Secim2023_Dataset/blob/master/LICENSE"},"modalities":[{"name":"Texts","url":"/datasets/modality/texts"}],"tasks":[],"languages":[],"variants":["Secim2023"],"data_loaders":[],"num_papers_in_archive":3,"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."}