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--- |
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license: apache-2.0 |
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tags: |
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- information-verification |
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- fact-checking |
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- fake-news-detection |
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pretty_name: >- |
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Reliability Estimation of News Media Sources: Birds of a Feather Flock |
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Together |
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size_categories: |
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- 1K<n<10K |
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--- |
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# Reliability Estimation of News Media Sources: _"Birds of a Feather Flock Together"_ |
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Dataset introduced in the paper ["Reliability Estimation of News Media Sources: Birds of a Feather Flock Together"](https://arxiv.org/abs/2404.09565) published in the NAACL 2024 main conference. |
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The dataset consists of a collections of **5.33K new media domains names with reliability labels**. Additionally, for some domains, there is also a human-provided reliability score available. |
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Columns of the dataset: |
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- `domain`: domain name |
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- `reliability_label`: the reliability label. Values: |
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- `1`: generally reliable; |
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- `0`: mixed; |
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- `-1`: generally unreliable |
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- `newsguard_score`: human-provided reliability score (only available for a small subset). Value: integer number between 0 and 100. |
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**Github repo** released along with the paper [here](https://github.com/idiap/News-Media-Reliability). |
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## Load Training Dataset |
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```python |
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from datasets import load_dataset |
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dataset = load_dataset('sergioburdisso/news_media_reliability') |
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print(dataset) |
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``` |
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Output: |
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```python |
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DatasetDict({ |
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train: Dataset({ |
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features: ['domain', 'reliability_label', 'newsguard_score'], |
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num_rows: 5332 |
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}) |
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}) |
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``` |
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## Citation |
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NAACL Paper: [here](https://aclanthology.org/2024.naacl-long.383/). |
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```bibtex |
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@inproceedings{burdisso-etal-2024-reliability, |
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title = "Reliability Estimation of News Media Sources: Birds of a Feather Flock Together", |
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author = "Burdisso, Sergio and |
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Sanchez-cortes, Dairazalia and |
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Villatoro-tello, Esa{\'u} and |
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Motlicek, Petr", |
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editor = "Duh, Kevin and |
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Gomez, Helena and |
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Bethard, Steven", |
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booktitle = "Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers)", |
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month = jun, |
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year = "2024", |
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address = "Mexico City, Mexico", |
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publisher = "Association for Computational Linguistics", |
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url = "https://aclanthology.org/2024.naacl-long.383", |
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pages = "6893--6911", |
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} |
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``` |
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## License |
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Copyright (c) 2024 [Idiap Research Institute](https://www.idiap.ch/). |
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Apache 2.0 License. |
