task_categories:text-classification language_creators:found multilinguality:monolingual size_categories:1K<n<10K language:pt region:us
Fake.Br Corpus is composed of aligned true and fake news written in Brazilian Portuguese.
@article{silva:20,
  title = "Towards automatically filtering fake news in Portuguese",
  journal = "Expert Systems with Applications",
  volume = "146",
  pages = "113199",
  year = "2020",
  issn = "0957-4174",
  doi = "https://doi.org/10.1016/j.eswa.2020.113199",
  url = "http://www.sciencedirect.com/science/article/pii/S0957417420300257",
  author = "Renato M. Silva and Roney L.S. Santos and Tiago A. Almeida and Thiago A.S. Pardo",
}
---
pretty_name: Fake.br
task_categories:
- text-classification
language:
- pt
language_details: pt-BR
size_categories:
- 1K<n<10K
multilinguality:
  - monolingual
language_creators:
  - found
---
# Dataset Card for fake.br

## Dataset Description

- **Homepage:** 
- **Repository:** [https://github.com/roneysco/Fake.br-Corpus/](https://github.com/roneysco/Fake.br-Corpus/)
- **Paper:**  [https://sites.icmc.usp.br/taspardo/OpenCor2018-SantosEtAl.pdf](https://sites.icmc.usp.br/taspardo/OpenCor2018-SantosEtAl.pdf)
- **Leaderboard:** 
- **Point of Contact:** 

### Dataset Summary

Fake.Br Corpus is composed of aligned true and fake news written in Brazilian Portuguese.

### Supported Tasks and Leaderboards

The task is text classification of news content.

### Languages

The dataset is in Portuguese.

## Dataset Structure

### Data Instances

[More Information Needed]

### Data Fields

[More Information Needed]

### Data Splits

[More Information Needed]

## Dataset Creation

### Curation Rationale

[More Information Needed]

### Source Data

#### Initial Data Collection and Normalization

[More Information Needed]

#### Who are the source language producers?

[More Information Needed]

### Annotations

#### Annotation process

[More Information Needed]

#### Who are the annotators?

[More Information Needed]

### Personal and Sensitive Information

[More Information Needed]

## Considerations for Using the Data

### Social Impact of Dataset

[More Information Needed]

### Discussion of Biases

[More Information Needed]

### Other Known Limitations

[More Information Needed]

## Additional Information

### Dataset Curators

[More Information Needed]

### Licensing Information

[More Information Needed]

### Citation Information

If you use "Fake.br Dataset", please include a citation to the project website and the corresponding paper published in PROPOR 2018 conference:
```bibtex
@InProceedings{fakebr:18,
  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.},
  title={Contributions to the Study of Fake News in Portuguese: New Corpus and Automatic Detection Results},
  booktitle={Computational Processing of the Portuguese Language},
  year={2018},
  publisher={Springer International Publishing},
  pages={324--334},
  isbn={978-3-319-99722-3},
}
```

or the paper published in Expert Systems with Applications:

```bibtex
@article{silva:20,
  title = "Towards automatically filtering fake news in Portuguese",
  journal = "Expert Systems with Applications",
  volume = "146",
  pages = "113199",
  year = "2020",
  issn = "0957-4174",
  doi = "https://doi.org/10.1016/j.eswa.2020.113199",
  url = "http://www.sciencedirect.com/science/article/pii/S0957417420300257",
  author = "Renato M. Silva and Roney L.S. Santos and Tiago A. Almeida and Thiago A.S. Pardo",
}
```

### Contributions

Thanks to [@ju-resplande](https://github.com/ju-resplande) for adding this dataset.