datajournalismiin
Datajournalismiin is a term used to describe a data-driven approach to journalism that combines rigorous data analysis with traditional reporting. It emphasizes reproducible methods, transparent sourcing, and clear presentation of findings. The term is not widely standardized and appears primarily in niche discussions about digital journalism.
Practitioners collect and clean datasets, perform exploratory analyses, and verify results before publication. They often collaborate
Common methods include data scraping, database querying, statistical analysis, and the use of visualizations to illustrate
Ethical considerations include privacy, consent, and avoidance of misrepresentation through selective framing. Datajournalismiin also faces challenges
In practice, examples often involve investigative reports that link public datasets with on-the-ground reporting to reveal