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Detection and Identification of Fake News: Binary Content Classification with Pre-trained Language Models

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Schütz, Mina
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Date of publication of this fulltext: 18 Apr 2021 13:29


Fake news has emerged as a critical problem for society and professional journalism. Many individuals consume their news via online media, such as social networks and news websites. Therefore, the demand for automatic fake news detection is increasing. There is still no agreed upon definition for fake news, since it can include various concepts, such as clickbait, propaganda, satire, hoaxes, and ...


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