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/
- Paper: 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:
@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:
@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 for adding this dataset.