Fake news is the contents that claim people to believe with thefalsification, sometime it is the sensitive messages. Mixing bothbelievable and unbelievable information on social media has madethe confusion of truth. That is the truth will be hardly classified. Thetechniques for detecting the Fake News means its a false story whichcomes from unauthorized source. Only by building a model based on acount vectorizer or a Term Frequency- Inverse Document Frequency i.e.TF-IDF score matrix calculation can only get you so far. It may happenthat the meaning two article be similar. Combating the fake news is aclassic text classification project with a straight forward proposition.We can implement a task by Naive Bayes or any other method to findout the real vs fake news.
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Garg et al. (2020) studied this question.
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