Transforming Fake News: Robust Generalisable News Classification Using Transformers

1 code implementation • 20 Sep 2021 • Ciara Blackledge, Amir Atapour-Abarghouei

Experiments over the ISOT and Combined Corpus datasets show that transformers achieve an increase in F1 scores of up to 4. 9% for out of distribution generalisation compared to baseline approaches, with a further increase of 10. 1% following the implementation of our two-step classification pipeline.

Binary Classification Classification +1