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The following words and terms are commonly used in data journalism. Data journalists might want to familiarise themselves with them.

The following information disorder glossary is designed to help journalists understand the most common terms used.

Journalists must recognise propaganda to avoid spin and deliver factual news. Ensuring the public is properly informed is essential for credible journalism.

For journalists, post-truth is a direct challenge to our mission to inform the public debate with verified facts. Here is how to handle post-truth content.

Journalists frequently face trauma that affects their wellbeing and work. Explore essential support services for managing work-related stress and trauma.

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

News coverage too often reports events without the historical context. Here we look at why understanding the past is essential to explaining the present.

Question avoidance is something every journalist faces. Here we look at common tactics, what they mean, and how to handle them.

When using generative AI in journalism, it's essential to create the right prompts. The quality of the prompts will define the quality of the response.

Our role as journalists is to unearth information, prepare it and then display it for the benefit of the audience. We are not there to fabricate, manipulate or force.

"Fake news" encompasses two distinct concepts: fabricated stories masquerading as truth and the dismissal of legitimate news as false.

Newsrooms committed to diversity, in terms of both staffing and coverage, must also deal with the psychological toll that discrimination takes on journalists.