Data journalism is an umbrella term for computerized visualizations and news stories generated from close examination and manipulation of databases.

Data journalism is best known for visualizations – graphs, charts, infographics – that are generated from databases.

But the form also includes AI-generated news stories wrested from data. News service Radar, for example, regularly produces thousands of news stories each month drawn from British government databases.

Currently, the UK-based service is squired by six journalists, who create AI story templates, which reach down into British databases to produce localized news stories.

Using the method, Radar was able to hyper-localize a government database chronicling crime across Great Britain and come up with a story entitled, “Hackney: The home of bike theft in London.”

Hyperlocalization and hyper-personalization is one of the great strengths of data journalism: The ability to reach down into a vast database, and come-up with a news story or visualization that applies to a highly specific location or highly specific term.

For example: Radar was able to reach down into a giant database on National Health Service spending and come up with this hyper-personalized story, headlined “Figures reveal NHS spends millions prescribing gluten-free food for patients.”