A Survey: Datasets and Methods for Arabic Fake News Detection

Saud Althabiti, Mohammad Ammar Alsalka, Eric Atwell

Abstract


Social media's fast-growing popularity and convenient approval of unknown accounts have promoted an environment where unidentified users can act maliciously, for instance, by spreading fake news. Even though these social networks have been motivating researchers to deter such occurrences, they have not overcome this dilemma due to the immense volume of posted messages that require processing. One of the essential solutions to detect fake news is to measure the credibility of users based on various features and how a particular message was circulated. This paper surveys studies on false news detection, specifically in Arabic, including current datasets and used methods.


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References


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