The enormous dissemination of data and information enabled by the Internet has brought great freedom of expression and information to almost the entire world population. However, at the same time the spread of information also brings with it the spread of false information, known in the field as "Fake news" or "misinformation". This phenomenon has led the scientific community to become interested in and develop solutions that can curb the problem: a fundamental building block is Natural Language Processing, an algorithmic technique developed through Machine Learning and artificial intelligence in general. In this work we address two challenges carried out during 2021, FEVEROUS and MediaEval 2021, that concern the identification of fake news through natural language processing and the most widely used models for text classification.