Veracity Assessment

Veracity assessment focuses on automatically determining the truthfulness of information, particularly in the context of combating misinformation online. Current research emphasizes developing robust and explainable methods, often employing large language models and neural networks (including transformer models and graph convolutional networks) to analyze textual content, social context, and cross-platform interactions. This field is crucial for mitigating the harmful effects of false information, with applications ranging from public health fact-checking to improving the reliability of online news and information sources. The development of more accurate, explainable, and generalizable models remains a key focus.