Earlier this year The Economist team published an interactive analysis delving into 5 years of Spotify’s data in 70 countries. It was a large data project that started with a scraper — by data journalist Dolly Setton, who was interested in the role of language on the platform — but getting the data was just the beginning.
“I thought it was an interesting experience at the beginning, exploring and figuring out together what was the heart of the piece,” says Olivia. “We didn’t realise what the story was going to be until sort of midway through.”
In a fourth video post on narrative concepts* I look at the different ways temporality can be used in factual storytelling, different choices that can be made about the narrator, and the principle of showing rather than telling.
In the latest video post on narrative concepts (you can see the previoustwo here), this video looks at narrative structure — in particular, how Cortazzi‘s typical narrative structure can help us identify common patterns across different journalistic formats, from the inverted pyramid to the WSJ feature formula.
Being able to identify these structures means we can adapt more quickly to new formats — including those on new platforms.
The video also touches on the use of temporality in storytelling, and how stories might jump back and forth in time to keep readers engaged.
German investigative non-profit CORRECTIV launched its sanctions tracker less than a week after the invasion of Ukraine. In an interview with OJB, Olaya Argüeso Perez talks about the background to the project, how it’s been used — and what they’ve learned since.
“It was my co-editor-in-chief Justus von Daniels who had the idea”
“We were discussing how to address the Russian invasion of Ukraine as a non-daily investigative outlet,” Olaya says. “And very soon we realized that the sanctions were going to play key role as the main and maybe only Western tool against Russia and its allies.”
In this video — first made for students on the MA in Data Journalism at Birmingham City University and shared as part of a series of video posts — I explain what computational thinking is and how it can improve your ability to work with data as a journalist, with some exercises and examples that help you exercise your own computational thinking.
When making video for the web there are four broad roles that it is likely to play: it might illustrate a story; add to it; distil the story; or tell it.
In the video below, made for students on the MA in Multiplatform and Mobile Journalism at Birmingham City University, I talk through examples of each type of video, as well as some tips on considering variety of shots, and sequence. You can find links to the examples below.