Analyze whether information about Covid-19 in Twitter is false information through a model designed by Python. Mined the fake news in Twitter through API, and compared TF-IDF, KNN, K-means, Naive Bayes, Logistic Regression, Xgboost, and Bert model to distinguish whether the information is false information. Used the TF-IDF, KNN and Bert model to predict and classify the labels of tweets from Twitter.