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.
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.
Journalists and politicians
Journalism is often referred to as “the fourth estate”, and is seen as being crucial to the functioning of a healthy and fair society.
Hey AI, what are the top stories of the day?
Have you ever chaired a news meeting surrounded by blank faces with no story ideas? Well, with AI that experience could be a thing of the past.
Specialisms in journalism
Specialist reporting means going beyond general news coverage in order to develop deep expertise, insight and trust in a particular subject area.
Journalism, trauma and stress
Journalists often witness traumatic events that impact their reporting. We explore the support available for managing work-related stress and trauma.
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.
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.
Investigating election irregularities
What should journalists look out for when covering elections? We look at five areas.
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.
Data journalism – resources and tools
We have compiled a list of some of the leading resources and tools that are available for those starting out in data journalism.
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.
False equivalence and false balance
Journalists can sometimes present an inaccurate or false version of events by trying too hard to 'balance' a story or incorrectly treating elements of a story as being roughly equal.
Setting online news priorities
Modern news sites act as converged content factories, delivering information across all user devices through a streamlined, multi-platform digital newsroom.
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.
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.
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.
Detecting AI-generated images
How can journalists identifying fake photographs with so many dramatic images being shared at speed on social media.
Beyond basic fact-checking
Fact-checking is a complex, evidence-based process which goes beyond simple verification, demanding critical thinking and contextual analysis.
Prompting AI for journalism
When using generative AI in journalism, it's essential to create the right prompts. The quality of the prompts will define the quality of the response.
Managing a news website’s front page
The journalist in charge of a news website is like a shopkeeper who sets out their stall. If the items are badly displayed the customer might miss them, if they are not fresh people won't buy them.
Using AI in journalism
Media organisations using AI should set clear newsgathering and production guidelines to protect journalistic integrity and maintain audience trust.
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.
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.






















