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--- |
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pretty_name: Fake.br |
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task_categories: |
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- text-classification |
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language: |
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- pt |
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language_details: pt-BR |
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size_categories: |
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- 1K<n<10K |
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multilinguality: |
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- monolingual |
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language_creators: |
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- found |
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--- |
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# Fake.br |
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## Dataset Description |
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- **Homepage:** |
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- **Repository:** [https://github.com/roneysco/Fake.br-Corpus/](https://github.com/roneysco/Fake.br-Corpus/) |
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- **Paper:** [https://sites.icmc.usp.br/taspardo/OpenCor2018-SantosEtAl.pdf](https://sites.icmc.usp.br/taspardo/OpenCor2018-SantosEtAl.pdf) |
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- **Leaderboard:** |
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- **Point of Contact:** |
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### Dataset Summary |
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Fake.Br Corpus is composed of aligned true and fake news written in Brazilian Portuguese. |
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### Supported Tasks and Leaderboards |
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The task is text classification of news content. |
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### Languages |
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The dataset is in Portuguese. |
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### Citation Information |
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If you use "Fake.br Dataset", please include a citation to the project website and the corresponding paper published in PROPOR 2018 conference: |
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```bibtex |
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@InProceedings{fakebr:18, |
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author={Monteiro, Rafael A. and Santos, Roney L. S. and Pardo, Thiago A. S. and de Almeida, Tiago A. and Ruiz, Evandro E. S. and Vale, Oto A.}, |
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title={Contributions to the Study of Fake News in Portuguese: New Corpus and Automatic Detection Results}, |
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booktitle={Computational Processing of the Portuguese Language}, |
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year={2018}, |
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publisher={Springer International Publishing}, |
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pages={324--334}, |
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isbn={978-3-319-99722-3}, |
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} |
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``` |
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or the paper published in Expert Systems with Applications: |
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```bibtex |
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@article{silva:20, |
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title = "Towards automatically filtering fake news in Portuguese", |
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journal = "Expert Systems with Applications", |
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volume = "146", |
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pages = "113199", |
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year = "2020", |
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issn = "0957-4174", |
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doi = "https://doi.org/10.1016/j.eswa.2020.113199", |
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url = "http://www.sciencedirect.com/science/article/pii/S0957417420300257", |
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author = "Renato M. Silva and Roney L.S. Santos and Tiago A. Almeida and Thiago A.S. Pardo", |
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} |
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``` |
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### Contributions |
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Thanks to [@ju-resplande](https://github.com/ju-resplande) for adding this dataset. |
