Farid Muradov

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2018

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Information Nutrition Labels: A Plugin for Online News Evaluation
Vincentius Kevin | Birte Högden | Claudia Schwenger | Ali Şahan | Neelu Madan | Piush Aggarwal | Anusha Bangaru | Farid Muradov | Ahmet Aker
Proceedings of the First Workshop on Fact Extraction and VERification (FEVER)

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.
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