Data journalism
In this section we look at how data is used in journalism. We discuss what data journalism is. and how important it is to the newsgathering and production process. Journalists have always used data in journalism but since desktop computers were introduced into newsrooms that use has developed to the point that all stories involve some elements of data and computer-assisted reporting (CAR).
What is data journalism?
Data journalism, also known as data-driven journalism, is the process of finding, understanding, and processing information in order to produce news stories.
Good journalism has always been about data
We are all data journalists, even those who may have never heard of the term before. Data journalism has been around for years, it's just more accessible and useful now.
Computer-assisted reporting (CAR)
Computer-Assisted Reporting (CAR) refers to the use of digital tools such as spreadsheets, databases, and basic statistical analysis to interrogate large datasets.
Data journalism – resources and tools
We have compiled a list of some of the leading resources and tools that are available for those starting out in data journalism.
Data journalism glossary
The following words and terms are commonly used in data journalism. Data journalists might want to familiarise themselves with them.
Dealing with algorithmic bias in news
Journalists need to be trained in how to recognise and deal with algorithm bias in order to counter the speed and scale at which biased content spreads.
Systems thinking for journalists
Systems thinking empowers journalists to provide deeper more meaningful news coverage by moving beyond surface-level reporting to uncover underlying related facts.