@inproceedings{kevin-etal-2018-information,
title = "Information Nutrition Labels: A Plugin for Online News Evaluation",
author = {Kevin, Vincentius and
H{\"o}gden, Birte and
Schwenger, Claudia and
{\c{S}}ahan, Ali and
Madan, Neelu and
Aggarwal, Piush and
Bangaru, Anusha and
Muradov, Farid and
Aker, Ahmet},
editor = "Thorne, James and
Vlachos, Andreas and
Cocarascu, Oana and
Christodoulopoulos, Christos and
Mittal, Arpit",
booktitle = "Proceedings of the First Workshop on Fact Extraction and {VER}ification ({FEVER})",
month = nov,
year = "2018",
address = "Brussels, Belgium",
publisher = "Association for Computational Linguistics",
url = "https://aclanthology.org/W18-5505",
doi = "10.18653/v1/W18-5505",
pages = "28--33",
abstract = "In this paper we present a browser plugin \textit{NewsScan} that assists online news readers in evaluating the quality of online content they read by providing \textit{information nutrition labels} for online news articles. In analogy to groceries, where nutrition labels help consumers make choices that they consider best for themselves, information nutrition labels tag online news articles with data that help readers judge the articles they engage with. This paper discusses the choice of the labels, their implementation and visualization.",
}
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<abstract>In this paper we present a browser plugin NewsScan that assists online news readers in evaluating the quality of online content they read by providing information nutrition labels for online news articles. In analogy to groceries, where nutrition labels help consumers make choices that they consider best for themselves, information nutrition labels tag online news articles with data that help readers judge the articles they engage with. This paper discusses the choice of the labels, their implementation and visualization.</abstract>
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%0 Conference Proceedings
%T Information Nutrition Labels: A Plugin for Online News Evaluation
%A Kevin, Vincentius
%A Högden, Birte
%A Schwenger, Claudia
%A Şahan, Ali
%A Madan, Neelu
%A Aggarwal, Piush
%A Bangaru, Anusha
%A Muradov, Farid
%A Aker, Ahmet
%Y Thorne, James
%Y Vlachos, Andreas
%Y Cocarascu, Oana
%Y Christodoulopoulos, Christos
%Y Mittal, Arpit
%S Proceedings of the First Workshop on Fact Extraction and VERification (FEVER)
%D 2018
%8 November
%I Association for Computational Linguistics
%C Brussels, Belgium
%F kevin-etal-2018-information
%X In this paper we present a browser plugin NewsScan that assists online news readers in evaluating the quality of online content they read by providing information nutrition labels for online news articles. In analogy to groceries, where nutrition labels help consumers make choices that they consider best for themselves, information nutrition labels tag online news articles with data that help readers judge the articles they engage with. This paper discusses the choice of the labels, their implementation and visualization.
%R 10.18653/v1/W18-5505
%U https://aclanthology.org/W18-5505
%U https://doi.org/10.18653/v1/W18-5505
%P 28-33
Markdown (Informal)
[Information Nutrition Labels: A Plugin for Online News Evaluation](https://aclanthology.org/W18-5505) (Kevin et al., EMNLP 2018)
ACL
- Vincentius Kevin, Birte Högden, Claudia Schwenger, Ali Şahan, Neelu Madan, Piush Aggarwal, Anusha Bangaru, Farid Muradov, and Ahmet Aker. 2018. Information Nutrition Labels: A Plugin for Online News Evaluation. In Proceedings of the First Workshop on Fact Extraction and VERification (FEVER), pages 28–33, Brussels, Belgium. Association for Computational Linguistics.