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2022 Conference and Labs of the Evaluation Forum, CLEF 2022 ; 3180:694-701, 2022.
Article in English | Scopus | ID: covidwho-2012664

ABSTRACT

Users of social media tend to explore different platforms to obtain news and find information about different events and activities. Furthermore they read, share, publish news with no prior knowledge of the certainty of being real or fake. This necessitates the development of an automated system for fake news detection. In this paper we report a system and its output as part of CLEF2022 - CheckThat! Lab Fighting the COVID-19 Infodemic and Fake News Detection. Task 3 was carried out using two BERT base uncased and data preprocessing with stop-words removal, lemmatization. We achieve an F1 score of 0.339 on news classification on English dataset. © 2022 Copyright for this paper by its authors.

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