@inproceedings{zhang-etal-2019-tanbih,
title = "{T}anbih: Get To Know What You Are Reading",
author = "Zhang, Yifan and
Da San Martino, Giovanni and
Barr{\'o}n-Cede{\~n}o, Alberto and
Romeo, Salvatore and
An, Jisun and
Kwak, Haewoon and
Staykovski, Todor and
Jaradat, Israa and
Karadzhov, Georgi and
Baly, Ramy and
Darwish, Kareem and
Glass, James and
Nakov, Preslav",
editor = "Pad{\'o}, Sebastian and
Huang, Ruihong",
booktitle = "Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing (EMNLP-IJCNLP): System Demonstrations",
month = nov,
year = "2019",
address = "Hong Kong, China",
publisher = "Association for Computational Linguistics",
url = "https://aclanthology.org/D19-3038",
doi = "10.18653/v1/D19-3038",
pages = "223--228",
abstract = "We introduce Tanbih, a news aggregator with intelligent analysis tools to help readers understanding what{'}s behind a news story. Our system displays news grouped into events and generates media profiles that show the general factuality of reporting, the degree of propagandistic content, hyper-partisanship, leading political ideology, general frame of reporting, and stance with respect to various claims and topics of a news outlet. In addition, we automatically analyse each article to detect whether it is propagandistic and to determine its stance with respect to a number of controversial topics.",
}
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%0 Conference Proceedings
%T Tanbih: Get To Know What You Are Reading
%A Zhang, Yifan
%A Da San Martino, Giovanni
%A Barrón-Cedeño, Alberto
%A Romeo, Salvatore
%A An, Jisun
%A Kwak, Haewoon
%A Staykovski, Todor
%A Jaradat, Israa
%A Karadzhov, Georgi
%A Baly, Ramy
%A Darwish, Kareem
%A Glass, James
%A Nakov, Preslav
%Y Padó, Sebastian
%Y Huang, Ruihong
%S Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing (EMNLP-IJCNLP): System Demonstrations
%D 2019
%8 November
%I Association for Computational Linguistics
%C Hong Kong, China
%F zhang-etal-2019-tanbih
%X We introduce Tanbih, a news aggregator with intelligent analysis tools to help readers understanding what’s behind a news story. Our system displays news grouped into events and generates media profiles that show the general factuality of reporting, the degree of propagandistic content, hyper-partisanship, leading political ideology, general frame of reporting, and stance with respect to various claims and topics of a news outlet. In addition, we automatically analyse each article to detect whether it is propagandistic and to determine its stance with respect to a number of controversial topics.
%R 10.18653/v1/D19-3038
%U https://aclanthology.org/D19-3038
%U https://doi.org/10.18653/v1/D19-3038
%P 223-228
Markdown (Informal)
[Tanbih: Get To Know What You Are Reading](https://aclanthology.org/D19-3038) (Zhang et al., EMNLP-IJCNLP 2019)
ACL
- Yifan Zhang, Giovanni Da San Martino, Alberto Barrón-Cedeño, Salvatore Romeo, Jisun An, Haewoon Kwak, Todor Staykovski, Israa Jaradat, Georgi Karadzhov, Ramy Baly, Kareem Darwish, James Glass, and Preslav Nakov. 2019. Tanbih: Get To Know What You Are Reading. In Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing (EMNLP-IJCNLP): System Demonstrations, pages 223–228, Hong Kong, China. Association for Computational Linguistics.