A plea for data-driven stories to go undercover, and center around the story, not around the data, analysis or technology that keeps the story afloat.
Should you learn Python, R or SQL? Investigative reporter Luuk Sengers discusses the ‘tribal war’ at hand in data journalism.
Lisa Charlotte Rost explains the psychological, social and technological reasons why none of us will ever fully believe all the facts. And how the kind of facts and the context in which we encounter them makes us believe or ignore them.
How can we all believe more true things? And how can we communicate data so that it convinces somebody? She looks at lots of examples from data communication, especially from data visualisation and data journalism.
Where to start if you’re new to data journalism? Sure, you should probably start with a story, but then what? Nowadays there are so many tools available, it can be hard to see the wood for the trees. Fortunately Datajournalism.tools is there to help you. Starting in data journalism can be hard enough by itself, […]
At the intersection of data and journalism, lots can go wrong. It’s possible that while your story is true, it’s also wrong. New York Times data journalist Robert Gebeloff shares his tactics to avoid that: how not to publish a true but wrong story ever again.
Recent events have shown that traditional journalistic practices might not be working as effectively as they used to. As such, here are a few additions to the Five “W”s that will surely come in handy for today’s journalists.
Must read: why were there no skeptical, investigative, quantitative journalists decades ago?
The newspaper has been getting serious about the graphs its produces. This article covers some of the changes the newsroom made: different tools (D3!), more mobile, graphics made for social media, and a monthly column on charts.
Belgium data journalist Maarten Lambrechts shares his thoughts on why explorables are the future, and what makes an explorable explanation great.
“There are a bunch of skills needed in building news apps, but at the most abstract level they fall into three buckets: Code, Design, and Journalism. Recruit people who have at least two of those skills and be willing to teach them the third.” Demand journalism skills, and the willingness to learn and other tips for new hires for your data journalism team.