Advanced journalism

Our advanced section explores specialised topics for experienced journalists seeking to deepen their expertise. Develop your skills in data journalism, multimedia storytelling, investigative techniques, and complex narrative structures that elevate reporting to the next level. All our material is free to download, adapt and use. Scroll down our site map for all the content in this and other sections.

An image of a fact-checking unit created using Microsoft's AI Image Designer

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.
Image of a news conference courtesy of Mariusz Kaminski

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.
Graphic by @urbanmuralhunter, image by Terence Faircloth, released via Creative Commons

Disinformation and misinformation

Journalists attempting to deal with 'fake news' need to understand the difference between disinformation and misinformation.
Image by David Brewer released via Creative Commons BY-NC-SA 4.0

Old news is no news, updates are essential

Journalism involves an ongoing commitment to update and rework the material we are producing to ensure that it remains relevant, reflects latest developments, and continues to inform.
Image of robot and smartphone by Matt Brown (https://www.flickr.com/photos/londonmatt/) released via Creative Commons BY DEED 2.0 (https://creativecommons.org/licenses/by/2.)

Detecting AI-generated images

How can journalists identifying fake photographs with so many dramatic images being shared at speed on social media.
Image by Anthony Karanja released via Creative Commons CC BY 2.0

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.
Image of a journalist analysing data created with Gemini Imagen 3 AI by Media Helping Media

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.
Image of a climate change rally created with Gemini Imagen 3 AI by Media Helping Media

Climate change glossary

The following is a list of some of the common climate change terms used by scientists, environmental agencies, governments, activists, and journalists.
Image by Kelly Static released via Creative Commons CC BY-SA 2.0

Investigating election irregularities

What should journalists look out for when covering elections? We look at five areas.
Data journalist image created by Microsoft's AI Image Designer

Using AI as a newsroom tool

Discover the pros and cons of AI in news production. We interview Google Gemini to explore how artificial intelligence views its growing role in journalism.
Fact-checking training Kenya. Image by Media Helping Media released via Creative Commons

Creating a fact-checking system

It’s the job of the journalist to try to find and present the truth, but fact-checking isn't easy. It requires a methodological approach to verification.
Image of man typing on a computer by Negative Space and released under Creative Commons.

Prompting AI for journalism

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.

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