In association with Fojo Media Institute, Linnaeus University, Sweden

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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.
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.
Journalist Bakhita Aluel adjusting the microphone at Radio Easter in Yei in South Sudan

Editing radio news bulletins

Radio bulletins offer concise updates on the latest news. They deliver key stories tailored to your listeners' interests in just a few minutes.
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 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.
Photo by Zainul Yasni on Unsplash

Information disorder – mapping the landscape

Information disorder is everywhere according to journalist Claire Wardle. Here she sets out the categories that reporters need to be aware of and research.
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 of a journalist in a refugee camp - created by Microsoft's AI Image Designer

Using AI for story development

How artificial intelligence (AI) can help a journalist brainstorm a story in order to discover multiple news angles
Image of computer screen Markus Spiske on Unsplash

The glossary of Information disorder

The following information disorder glossary is designed to help journalists understand the most common terms used.
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 David Brewer released via Creative Commons BY-NC-SA 4.0

Running an effective news meeting

Here we offer 50 suggestions for helping editors run stimulating news meetings that guarantee a steady stream of original stories.
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.
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 journalists carrying out computer-assisted reporting (CAR) image created using Imagen 3 - created by David Brewer of MHM

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.
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.