Datasets:
Tasks:
Text Classification
Modalities:
Text
Formats:
csv
Languages:
Portuguese
Size:
10K - 100K
License:
File size: 2,226 Bytes
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---
license: cc-by-4.0
pretty_name: Central de Fatos
task_categories:
- text-classification
language:
- pt
language_details: pt-BR
size_categories:
- 10K<n<100K
multilinguality:
- monolingual
language_creators:
- found
DOI: 10.5281/zenodo.5191798
---
# Central de Fatos
## Dataset Description
- **Homepage:**
- **Repository:** [https://zenodo.org/record/5191798](https://zenodo.org/record/5191798)
- **Paper:** [https://sol.sbc.org.br/index.php/dsw/article/view/17421/17257](https://sol.sbc.org.br/index.php/dsw/article/view/17421/17257)
- **Leaderboard:**
- **Point of Contact:**
### Dataset Summary
In recent times, the interest for research dissecting the dissemination and prevention of misinformation in the online environment has spiked dramatically.
Given that scenario, a recurring obstacle is the unavailability of public datasets containing fact-checked instances.
In this work, we performed an extensive data collection of such instances from the better part of all major internationally recognized Brazilian fact-checking agencies.
Particularly, this paper offers the research community a novel dataset containing fact-checks from various trustworthy sources regarding a wide range of topics.
In total, the resulting collection encompasses 11647 fact-check instances collected across 6 different agencies that can be used for several studies in the contexts of identifying and combating misinformation on digital platforms in Brazil.
### Citation Information
If you use "Central de Fatos", please cite:
```bibtex
@inproceedings{dsw,
author = {João Couto and Breno Pimenta and Igor M. de Araújo and Samuel Assis and Julio C. S. Reis and Ana Paula da Silva and Jussara Almeida and Fabrício Benevenuto},
title = {Central de Fatos: Um Repositório de Checagens de Fatos},
booktitle = {Anais do III Dataset Showcase Workshop},
location = {Rio de Janeiro},
year = {2021},
keywords = {},
issn = {0000-0000},
pages = {128--137},
publisher = {SBC},
address = {Porto Alegre, RS, Brasil},
doi = {10.5753/dsw.2021.17421},
url = {https://sol.sbc.org.br/index.php/dsw/article/view/17421}
}
```
### Contributions
Thanks to [@ju-resplande](https://github.com/ju-resplande) for adding this dataset. |