News Understanding

News understanding research aims to develop computational methods for automatically analyzing news articles, identifying key information, and mitigating biases. Current efforts focus on distinguishing factual news from misinformation, detecting subtle biases in reporting, and modeling user engagement to improve news recommendation systems. These advancements leverage large language models, often incorporating retrieval-augmented techniques and explainable AI methods to enhance accuracy and transparency. The ultimate goal is to improve the reliability and accessibility of news information, combating the spread of misinformation and promoting informed public discourse.