Advanced journalism

Data Journalism -a MHM training article graphic

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.
Journalists James Innocent Ali (background) and Bakhita Aluel recording links at Radio Easter in South Sudan.

Editing audio for radio news

We edit audio when airtime is limited. Always consult your editor or producer on the required duration before starting any edits to ensure the item fits.
Detecting AI Images - a MHM training article graphic

Detecting AI-generated images

How can journalists identifying fake photographs with so many dramatic images being shared at speed on social media.
Image of hear no evil, speak no evil, see no evil, by Bhatt released via Creative Commons BY-NC-SA 2.0

When interviewees dodge your questions

Question avoidance is something every journalist faces. Here we look at common tactics, what they mean, and how to handle them.
Journalists in Vietnam applying critical thinking to story treatment - image by David Brewer

Critical thinking for journalists

Critical thinking is the bedrock of quality journalism, serving as the essential foundation to help audiences better understand the world.
Answer Engine Optimisation - a MHM training article graphic

Journalism that AI will trust and promote

What must journalists do to ensure news stories perform well in AI and search queries? The answer might surprise those who think algorithms favour clickbait.
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.
Slide by David Brewer released via Creative Commons BY-NC-SA 4.0.

Handling breaking news

Journalists need to have a system in place for covering a breaking news story in order to know who does what and when.
Algorithmic bias in news - a MHM training resource graphic

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 by Adam Lisagor released via Creative Commons CC BY-NC-SA 2.0

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.
AI in Journalism - a MHM training article graphic

Using AI in journalism

Media organisations using AI should set clear newsgathering and production guidelines to protect journalistic integrity and maintain audience trust.
"Working late" by Alan Cleaver is licensed under CC BY 2.0.

Why follow-up journalism matters

Most news stories need following up. If the original has any value, there will be angles worth developing. If you fail to do so, you let your audience down.

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