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.

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 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 journalists looking at a computer screen created with Gemini Imagen 3 AI by Media Helping Media

Good journalism has always been about data

We are all data journalists, even those who may have never heard of the term before. Data journalism has been around for years, it's just more accessible and useful now.
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.
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.
Current affairs programme training in Vinh, Vietnam - image by MHM

Planning a radio current affairs programme

Explore the difference between radio news and daily current affairs programmes, and learn how they work together to keep audiences fully informed.
Image of journalist taking notes by Marco Urban released via Creative Commons BY-NC-ND 2.0

Self-censorship in journalism

To combat self-censorship - a major hurdle for robust impartial journalism - journalists must first recognise why it happens and understand its root causes.
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 to illustrate a MHM training exercise. Image created by Google Gemini

Understanding post-truth in journalism

For journalists, post-truth represents a critical challenge to our core mission of informing the public with accurate, verified information. Here we look at how journalists should handle post-truth content.
Image of a journalist covering a climate change rally created with Gemini Imagen 3 AI by Media Helping Media

Journalism and activism

Can a journalist also be an activist for a cause without compromising the core editorial values of journalism?
Photo by Elijah O'Donnell on Unsplash

Fake news and trust chains

"Fake news" encompasses two distinct concepts: fabricated stories masquerading as truth and the dismissal of legitimate news as false.
Image to illustrate AI in the newsroom - created using Imagen 3 by David Brewer of MHM

Using AI in journalism

Media organisations using AI should set clear newsgathering and production guidelines to protect journalistic integrity and maintain audience trust.

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