CiTIUS at FakeDeS 2021: A Hybrid Strategy for Fake News Detection

This article describes several BERT-based supervised classification strategies submitted to Fake News Detection in Spanish Shared Task, where the sources of data are news annotated as fake or real. In our experiments, the systems were trained exclusively with the official datasets provided by the organizers of the shared task, without making use of any other source of information. The best system turned out to be a hybrid strategy that combines sentence similarity with some linguistic heuristics.

keywords: Fake News; Transformers; BERT Sentence Similarity