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.
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.
If you’re using maps as a data journalist it’s important to be aware of the editorial choices you are making — and how they can skew your reporting.
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 introduce critical cartography, the different types of maps you might choose to use to tell a story, and the different types of stories that they can tell.
I also give some examples of geography-based stories that might be better told with other charts, and list some tools and tips that can be used to tell geographical stories.
With just a few basic data journalism techniques you can tell a lot of data journalism stories. I call these the “three chords of data journalism” — a nod to Simon Rogers’s talk on data journalists as the new punks. Those chords are: sorting; filtering; and calculating percentages.
In this third 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 walk through how to use those techniques in practice, using gender pay gap data to demonstrate how those techniques can be used to find outliers and potential interviewees; to drill down to a particular category or area in a dataset; and to put figures into context.
Journalists get hold of data using four broad approaches: it might be newly published or issued; it might be leaked; they might request it; or they might seek it out based on an idea or in reaction to a news event.
In this second short 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 go through the different ways that journalists obtain data and the different types of story that those sources can lead to.