Before revision:  We show that the proposed model is superior to the current state-of-the-art methods in accurately predicting the evolution of the fake news cascades . Moreover, the proposed model can appropriately infer the correction time when some users realize the falsity of the news  .
After revision:  We show that the proposed model is superior to the current state-of-the-art methods in accurately predicting the evolution of the spread of a fake news item . Moreover, the proposed model can appropriately infer the correction time when some users realize the falsity of the news .