Dataset Open Access
Data for PAN at SemEval 2019 Task 4: Hyperpartisan News Detection
Johannes Kiesel;
Maria Mestre;
Rishabh Shukla;
Emmanuel Vincent;
David Corney;
Payam Adineh;
Benno Stein;
Martin Potthast
BibTeX Export
@dataset{johannes_kiesel_2018_1489920,
author = {Johannes Kiesel and
Maria Mestre and
Rishabh Shukla and
Emmanuel Vincent and
David Corney and
Payam Adineh and
Benno Stein and
Martin Potthast},
title = {{Data for PAN at SemEval 2019 Task 4: Hyperpartisan
News Detection}},
month = nov,
year = 2018,
publisher = {Zenodo},
version = {Training and validation v1},
doi = {10.5281/zenodo.1489920},
url = {https://doi.org/10.5281/zenodo.1489920}
}
20,788
23,453
views
downloads
| All versions | This version | |
|---|---|---|
| Views | 20,788 | 9,767 |
| Downloads | 23,453 | 20,077 |
| Data volume | 10.5 TB | 9.2 TB |
| Unique views | 16,884 | 7,553 |
| Unique downloads | 5,511 | 4,646 |
Indexed in
- Publication date:
- November 22, 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