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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.
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A journalist must not have an agenda

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.
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Journalism and activism

Can a journalist also be an activist for a cause without compromising the core editorial values of journalism?
Riz Khan presenting

Engaging viewers and listeners

TV and radio presenters need to connect with the audience, building trust and respect. Here Riz Khan shares some tips for engaging viewers and listeners.
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How to detect AI-generated images

How can journalists identifying fake photographs with so many dramatic images being shared at speed on social media.
Slide by David Brewer released via Creative Commons BY-NC-SA 4.0.

How to set online news priorities

Increasingly, news websites are the product of a converged newsroom operating as a content factory delivering information to whatever device the user turns to in order to access information.
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Avoiding bias during election coverage

During elections politicians will often accuse media organisations and their journalists of bias. We look at the challenges of producing fair election coverage.
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The glossary of Information disorder

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

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Lesson: Investigating Documents

Investigative journalists need to learn how to interrogate official documents in order to find essential facts and then inform the audience. 

Respecting privacy as a journalist

Journalists face a difficult balancing act. They must respect privacy, but they must also investigate issues that are in the public interest.

Fairness in journalism

Fairness in journalism means exploring all sides of an issue and reporting the findings accurately.