Multilingual Evidence Retrieval and Fact Verification to Combat Global Disinformation: The Power of Polyglotism
This work addresses the critical problem of disinformation for communities speaking evidence-poor languages, proposing an incremental approach to cross-lingual fact verification.
This paper explores multilingual evidence retrieval and fact verification to combat global disinformation, focusing on verifying claims in evidence-poor languages using evidence from evidence-rich languages. Their EnmBERT system demonstrates transfer learning capabilities and they provide a 400-example mixed English-Romanian dataset for cross-lingual transfer learning evaluation.
This article investigates multilingual evidence retrieval and fact verification as a step to combat global disinformation, a first effort of this kind, to the best of our knowledge. The goal is building multilingual systems that retrieve in evidence-rich languages to verify claims in evidence-poor languages that are more commonly targeted by disinformation. To this end, our EnmBERT fact verification system shows evidence of transfer learning ability and 400 example mixed English-Romanian dataset is made available for cross-lingual transfer learning evaluation.