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Media Helping Media is hosted by the Fojo Media Institute at Linnaeus University.
Advanced Journalism
Our advanced journalism 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.
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.
Health reporting for beginners
Most journalists are generalists, who can cover any kind of story. But there is also a place for specialists, providing expertise on particular subjects.
Detecting AI-generated images
How can journalists identifying fake photographs with so many dramatic images being shared at speed on social media.
Disinformation and misinformation
Journalists attempting to deal with 'fake news' need to understand the difference between disinformation and misinformation.
Updating an online news item
Journalists working on a news website are responsible for publishing content on every device their users to turn to in order to access information.
Computer-assisted reporting (CAR)
Computer-Assisted Reporting (CAR) refers to the use of digital tools such as spreadsheets, databases, and basic statistical analysis to interrogate large datasets.
The use of idioms in journalism
Journalists producing serious news coverage must always write in a way that is clear, accurate, free from jargon.
The glossary of information disorder
The following information disorder glossary is designed to help journalists understand the most common terms used.
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.
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.
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.
Creating a current affairs programme
In this article we look at the steps involved in creating a radio news and current affairs programme based on the needs of the target audience.
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The content on Media Helping Media (MHM) is released via Creative Commons BY NC SA 4.0.