News Source

News source research focuses on improving the accuracy, reliability, and fairness of news reporting, addressing challenges like misinformation, bias, and fragmentation. Current research employs natural language processing (NLP) techniques, including reinforcement learning and large language models, to analyze news content, identify cherry-picking, estimate source reliability, and detect biases related to diversity, equity, and inclusion (DEI). These advancements aim to enhance the quality and trustworthiness of news, supporting informed public discourse and empowering journalists with tools for improved reporting practices.