This repository was archived by the owner on Jul 16, 2025. It is now read-only.
Types of “users” of journalistic content built on Fluid – (1) Story writers: journalists, editors, in-house tech teams #8
RaoOfPhysics
started this conversation in
Ideas
Replies: 1 comment
|
Admittedly the example articles from The Economist I referenced aren’t to do with climate science, and so may not necessarily be the right ones. But it may be a quick way of demonstrating some capabilities of Fluid. |
0 replies
Sign up for free
to join this conversation on GitHub.
Already have an account?
Sign in to comment
Uh oh!
There was an error while loading. Please reload this page.
Uh oh!
There was an error while loading. Please reload this page.
From the perspective of journalistic content built using Fluid, we can foresee two broad types of “users”, as described below. Each is accompanied by a different set of assumptions in terms of, for example, technical proficiency/interest.
This discussion focuses on the “producers” of the stories. See #9 for the discussion on “consumers”.
Background
There is an expectation of a certain proficiency with technology as well as a willingness to use it, in order to produce data- and visualisation-driven narratives. Tech-minded journalists might already be familiar with some paradigms and workflows (see #4 and #5).
Examples
The Economist, in particular, has a large collection of GitHub projects used for data-driven storytelling:
The Economist’s repos are mostly in R, sometimes running in Jupyter, and the BBC team has released, among other tools, an R package for
ggplot, calledbbplot.Questions for onboarding
All reactions