Veracity Prediction

Veracity prediction focuses on automatically assessing the truthfulness of claims, particularly within the context of combating misinformation online. Current research emphasizes developing robust models, often leveraging large language models (LLMs) and retrieval-augmented generation (RAG) techniques, to improve accuracy and provide explainable justifications for predictions. Key areas of investigation include enhancing model transferability across different LLMs and datasets, optimizing threshold selection for reliable binary classifications, and generating human-understandable explanations to support veracity assessments. This field is crucial for mitigating the spread of false information and improving the trustworthiness of online information sources.