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

TítuloCiTIUS at FakeDeS 2021: A Hybrid Strategy for Fake News Detection
AutoresPablo Gamallo
TipoComunicación para congreso
Fonte IberLEF 2021: Iberian Languages Evaluation Forum 2021, Online, , 2021.
ISBNISSN: 1613-0073
AbstractThis 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.
Palabras chaveFake News; Transformers; BERT Sentence Similarity