{
 "id": "recogna-nlp/fakerecogna2-abstrativa",
 "owner": "recogna-nlp",
 "name": "fakerecogna2-abstrativa",
 "downloads": 107,
 "likes": 2,
 "last_modified": "2025-06-06T02:44:11.000Z",
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 "stated_from": "tag",
 "licence_name": null,
 "licence_link": null,
 "file_licence": null,
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 "gated": false,
 "tasks": [
  "text-classification"
 ],
 "citation": "@inproceedings{garcia-etal-2024-text,\n    title = \"Text Summarization and Temporal Learning Models Applied to {P}ortuguese Fake News Detection in a Novel {B}razilian Corpus Dataset\",\n    author = \"Garcia, Gabriel Lino  and\n      Paiola, Pedro Henrique  and\n      Jodas, Danilo Samuel  and\n      Sugi, Luis Afonso  and\n      Papa, Jo{\\~a}o Paulo\",\n    editor = \"Gamallo, Pablo  and\n      Claro, Daniela  and\n      Teixeira, Ant{\\'o}nio  and\n      Real, Livy  and\n      Garcia, Marcos  and\n      Oliveira, Hugo Gon{\\c{c}}alo  and\n      Amaro, Raquel\",\n    booktitle = \"Proceedings of the 16th International Conference on Computational Processing of Portuguese - Vol. 1\",\n    month = mar,\n    year = \"2024\",\n    address = \"Santiago de Compostela, Galicia/Spain\",\n    publisher = \"Association for Computational Lingustics\",\n    url = \"https://aclanthology.org/2024.propor-1.9/\",\n    pages = \"86--96\"\n    }",
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}