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.

Image of a media lawyer - created using Imagen 3 by David Brewer of MHM

The role of the media lawyer

Many news stories involve straightforward reporting on events, but some more complex stories might require legal advice before they are published.
Image to illustrate a MHM training exercise. Image created by Google Gemini

Understanding post-truth in 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.
Interview training for radio journalism students in Jaffna, Sri Lanka, image by David Brewer of Media Helping Media

Interviewing without questions

Some interviews don't have to be a rigid question-and-answer session. A more conversational approach - without asking a single question - can sometimes yield richer insights.
Image of a network interface card created with Gemini Imagen 3 AI by Media Helping Media

Data journalism glossary

The following words and terms are commonly used in data journalism. Data journalists might want to familiarise themselves with them.
Image to illustrate evidence-based reporting created with Google Gemini

Evidence-based reporting

This guide provides a framework for journalists to compile in-depth reports on any topic by ensuring that all they write is based on verifiable facts.
Image by Russell Trow released via Creative Commons CC BY 2.0

Media safety during elections

Journalists covering elections should never carry a weapon, should have first aid training, dress appropriately, listen to the locals and avoid confrontation.
The author, Charles Ngidula (left) - image courtesy Fojo Media Institute

Integrating AI into everyday journalism

AI is reshaping newsrooms — but only journalists can ensure it strengthens, not undermines, the trust and integrity that great reporting depends on.
Image by Ed Yourdon released via Creative Commons CC BY-SA 2.0.

Examining rumour to find facts

The role of a journalist is to publish facts. To do that they often have to examine rumour and gossip as part of the newsgathering process.
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.
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.
Image courtesy of Randy Colas on Unsplash

Forms of information disorder

With the spread of fake news, journalists need to recognise and understand the different categories, types, elements, and phases of information disorder.
Image by Bram Cymet released via Creative Commons CC BY-NC 2.0

Tips for motivating journalists

Daily news meetings should be inclusive and agenda-setting. Editors must foster a culture of original ideas and risk-taking to keep staff motivated and alert.

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