News Medium pRofiling

News media profiling aims to automatically characterize news sources based on factors like bias and factuality, crucial for combating misinformation. Current research focuses on leveraging large language models, graph neural networks, and contrastive learning techniques to analyze both textual content and audience overlap to create comprehensive profiles. These advancements improve the detection of fake news and biased reporting, impacting both the scientific understanding of information dissemination and the development of tools to mitigate the spread of disinformation.