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Self-censorship in journalism
To combat self-censorship - a major hurdle for robust impartial journalism - journalists must first recognise why it happens and understand its root causes.
Data journalism glossary
The following words and terms are commonly used in data journalism. Data journalists might want to familiarise themselves with them.
False equivalence and false balance
Journalists can sometimes present an inaccurate or false version of events by trying too hard to 'balance' a story or incorrectly treating elements of a story as being roughly equal.
Tool: The Content Value Matrix
In this article we look at the 'content value matrix, a tool designed to help media managers prioritise effort and resources on the stories that really matter to the target audience.
The use of idioms in journalism
Journalists producing serious news coverage must always write in a way that is clear, accurate, free from jargon.
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.
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.