News Corpus

News corpora, large collections of news articles, are crucial resources for advancing natural language processing (NLP) research and applications. Current research focuses on improving information extraction from these corpora, including tasks like identifying key events, detecting media storms, and extracting factual information using large language models (LLMs) and techniques like transfer learning and prompt engineering. These efforts are driven by the need for more accurate and efficient tools for tasks such as fake news detection, summarization, and understanding media bias, ultimately impacting fields ranging from journalism to political science. The development of high-quality, annotated corpora in various languages, including low-resource languages, is also a significant area of ongoing work.