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Tweet2Vec model to detect misinformation about the COVID-19 Pandemic on Twitter

This paper provides a method to find out misinformation pertaining to topics such as the COVID-19 pandemic via an altered version of the tweet2vec model. In this version of the model, tweets with reliable and false news on the pandemic are converted into vectors based on the CBOW (Common Bag of Words) model and plotted graphically. After this, a K-Means clustering algorithm is used to determine a threshold value for the vector form to determine if the tweet has credible information or not.