About: SciLens News Platform: A System for Real-Time Evaluation of News Articles

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An Entity of Type : schema:ScholarlyArticle, within Data Space : covidontheweb.inria.fr associated with source document(s)

Attributes	Values
type	Academic Article research paper schema:ScholarlyArticle
isDefinedBy	Covid-on-the-Web dataset
has title	SciLens News Platform: A System for Real-Time Evaluation of News Articles
Creator	Castillo, Carlos Aberer, Karl Romanou, Angelika Smeros, Panayiotis
Source	ArXiv
abstract	We demonstrate the SciLens News Platform, a novel system for evaluating the quality of news articles. The SciLens News Platform automatically collects contextual information about news articles in real-time and provides quality indicators about their validity and trustworthiness. These quality indicators derive from i) social media discussions regarding news articles, showcasing the reach and stance towards these articles, and ii) their content and their referenced sources, showcasing the journalistic foundations of these articles. Furthermore, the platform enables domain-experts to review articles and rate the quality of news sources. This augmented view of news articles, which combines automatically extracted indicators and domain-expert reviews, has provably helped the platform users to have a better consensus about the quality of the underlying articles. The platform is built in a distributed and robust fashion and runs operationally handling daily thousands of news articles. We evaluate the SciLens News Platform on the emerging topic of COVID-19 where we highlight the discrepancies between low and high-quality news outlets based on three axes, namely their newsroom activity, evidence seeking and social engagement. A live demonstration of the platform can be found here: http://scilens.epfl.ch.
has issue date	2020-08-27(xsd:dateTime)
bibo:doi	10.14778/3415478.3415521
has license	arxiv
sha1sum (hex)	aa2e4e57342de0cc20d7f240e47905bf35d06f9b
schema:url	https://doi.org/10.14778/3415478.3415521
resource representing a document's title	SciLens News Platform: A System for Real-Time Evaluation of News Articles
resource representing a document's body	covid:aa2e4e57342de0cc20d7f240e47905bf35d06f9b#body_text
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