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Here we offer 50 suggestions for helping editors run stimulating news meetings that guarantee a steady stream of original stories.

AI is reshaping newsrooms — but only journalists can ensure it strengthens, not undermines, the trust and integrity that great reporting depends on.

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.

How do you interview someone who has been trained to avoid your questions? You have to recognise the techniques, stay calm, and keep digging for facts.

Many news stories involve straightforward reporting on events, but some more complex stories might require legal advice before they are published.

How can journalists identifying fake photographs with so many dramatic images being shared at speed on social media.

What should journalists look out for when covering elections? We look at five areas.

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.

What must journalists do to ensure news stories perform well in AI and search queries? The answer might surprise those who think algorithms favour clickbait.

Data journalism, also known as data-driven journalism, is the process of finding, understanding, and processing information in order to produce news stories.

Different news stories have a different value for your audience and for your business. Giving news items a 'weighting' can lead to impact and efficiencies.

We have compiled a list of some of the leading resources and tools that are available for those starting out in data journalism.