# Multilingual Evidence Retrieval and Fact Verification to Combat Global Disinformation: The Power of Polyglotism

arXiv: https://arxiv.org/abs/2012.08919 · HTML: https://mlsanity.com/paper/2012.08919/

## Key facts

- Cited by 3 papers in the map (data through 14 Oct 2026).
- First posted on arXiv 16 Dec 2020.

## Built on by (most cited first, 3 of 3)

- [Smart Vision-Language Reasoners](https://mlsanity.com/paper/2407.04212/) (2024)
- [Efficient Large-Scale Visual Representation Learning And Evaluation](https://mlsanity.com/paper/2305.13399/) (2023)
- [Which Programming Language and Model Work Best With LLM-as-a-Judge For Code Retrieval?](https://mlsanity.com/paper/2510.00324/) (2025)

## Abstract (arXiv)

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.