Veracity Classification

Veracity classification, the task of determining the truthfulness of claims, is a crucial area of research driven by the proliferation of misinformation. Current efforts focus on improving evidence retrieval methods, often employing contrastive learning and transformer-based architectures like those found in LLMs, to enhance accuracy and generate explainable justifications for veracity judgments. This research is significant because it addresses the urgent need for automated fact-checking systems, impacting not only the scientific community through the development of new benchmark datasets and evaluation metrics, but also practical applications like combating online misinformation and improving the reliability of information sources.