BUM at CheckThat! 2022: A Composite Deep Learning Approach to Fake News Detection using Evidence Retrieval


We detail a deep learning approach based on the transformer architecture for performing fake news detection. The proposed approach is composed of a deep learning network which receives as input the claim to be verified, a series of predictions made by other models, and supporting evidence in the form of ranked passages. We validate our approach on the data from the CLEF2022-CheckThat! Lab (Task 3: Fake News Detection), where we achieve an F1-score of 0.275, ranking 10th out of 25 participants.

Working Notes of CLEF 2022—Conference and Labs of the Evaluation Forum

CLEF'22 CheckThat! Leaderboard for Task 3