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2021 | OriginalPaper | Buchkapitel

A Classification Algorithm to Recognize Fake News Websites

verfasst von : Giuseppe Pernagallo, Benedetto Torrisi, Davide Bennato

Erschienen in: Data Science and Social Research II

Verlag: Springer International Publishing

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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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Titel: A Classification Algorithm to Recognize Fake News Websites
verfasst von: Giuseppe Pernagallo
Benedetto Torrisi
Davide Bennato
Verlag: Springer International Publishing
Buch: Data Science and Social Research II
Print ISBN: 978-3-030-51221-7

Electronic ISBN: 978-3-030-51222-4

Copyright-Jahr: 2021
DOI: https://doi.org/10.1007/978-3-030-51222-4_25

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