Dataset Open Access
SemEval 2019 Task 4 - Hyperpartisan News Detection
Johannes Kiesel;
Martin Potthast;
Maria Mestre;
Rishabh Shukla;
Benno Stein;
David Corney;
Emmanuel Vincent;
Payam Adineh
BibTeX Export
@dataset{johannes_kiesel_2018_1406208,
author = {Johannes Kiesel and
Martin Potthast and
Maria Mestre and
Rishabh Shukla and
Benno Stein and
David Corney and
Emmanuel Vincent and
Payam Adineh},
title = {SemEval 2019 Task 4 - Hyperpartisan News Detection},
month = sep,
year = 2018,
publisher = {Zenodo},
version = {Trial v3},
doi = {10.5281/zenodo.1406208},
url = {https://doi.org/10.5281/zenodo.1406208}
}
19,498
14,704
views
downloads
| All versions | This version | |
|---|---|---|
| Views | 19,498 | 8,808 |
| Downloads | 14,704 | 1,895 |
| Data volume | 5.3 TB | 960.0 GB |
| Unique views | 16,088 | 8,339 |
| Unique downloads | 4,046 | 519 |
Indexed in
- Publication date:
- September 3, 2018
- DOI:
-
- Keyword(s):
- Hyperpartisan news SemEval SemEval 2019 SemEval 2019 Task 4 Biased news News bias Hyperpartisan Hyperpartisanship
- Meeting:
- International Workshop on Semantic Evaluation 2019 (SemEval-2019) (Session Task 4)
- Related identifiers:
- Referenced by
- Communities:
- License (for files):
- Creative Commons Attribution 4.0 International