 Computational journalism

Computational journalism is an interdisciplinary field that combines traditional journalism practices with computational methods and tools to enhance reporting, analysis, and storytelling. It leverages data, algorithms, and technologies to gather, process, and analyze information, enabling journalists to uncover insights and present complex stories more effectively. Key aspects of computational journalism include: 1. **Data Journalism**: The use of large datasets to inform reporting. Journalists may analyze public records, social media data, or other datasets to uncover trends and patterns.