"Fake news" is information that generally spreads on the web, which mimics the form of reliable news media content. In this paper, we use a classifier to distinguish a reliable source from a fake news website based on information potentially available on websites, such as the presence of a "contact us" section or a secured connection. This framework offers a concrete solution to attribute a “reliability score” to news websites, defined as the probability that a source is reliable or not, and based on this probability a user can decide if the news is worth sharing.
A Classification Algorithm to Recognize Fake News Websites
Pernagallo G.
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2021-01-01
Abstract
"Fake news" is information that generally spreads on the web, which mimics the form of reliable news media content. In this paper, we use a classifier to distinguish a reliable source from a fake news website based on information potentially available on websites, such as the presence of a "contact us" section or a secured connection. This framework offers a concrete solution to attribute a “reliability score” to news websites, defined as the probability that a source is reliable or not, and based on this probability a user can decide if the news is worth sharing.
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