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