News Medium

News media research focuses on understanding how information is disseminated, framed, and consumed, aiming to identify biases, measure diversity, and assess the impact of various factors on public perception. Current research employs natural language processing (NLP) techniques, including large language models (LLMs) and graph neural networks, to analyze textual content, identify patterns in media coverage (e.g., political slant, factuality), and model relationships between news outlets and their audiences. These analyses are crucial for improving news credibility, combating misinformation, and enhancing public understanding of complex issues, with applications ranging from flood risk assessment to political polarization detection.