EMET: Embeddings from Multilingual-Encoder Transformer for Fake News Detection

Two publicly available datasets that were collected from Twitter, and are part of two social media verification challenges held in 2015 and 2016. The only difference between them is that the first one was created considering two categories (fake and real), while the other also has the unknown class. These datasets consist of tweets related to 35 distinct events covering six languages. For more details take a look at EMET paper 10.1109/ICASSP40776.2020.9054673