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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.
Brand values in news
All news organisations have values. They are the biggest part of the organisation’s brand. Journalists need to uphold these brand values at all times.
Examining rumour to find facts
The role of a journalist is to publish facts. To do that they often have to examine rumour and gossip as part of the newsgathering process.
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.
Fake news and trust chains
"Fake news" encompasses two distinct concepts: fabricated stories masquerading as truth and the dismissal of legitimate news as false.
Evidence-based reporting
This guide provides a framework for journalists to compile in-depth reports on any topic by ensuring that all they write is based on verifiable facts.
Spotting errors in your own writing
Most journalists need a second pair of eyes to check through their copy in order to spot any factual, grammatical or spelling mistakes.
Editorial independence during elections
Election coverage is one of the most critical responsibilities of the media. It shapes public discourse, informs voters, and plays a vital role in safeguarding democracy.