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.
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.
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.
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.
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.
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.
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.
Spotting errors in your own writing
Most journalists need a second pair of eyes to check through their copy in order to spot any factual, grammatical or spelling mistakes.
Using AI in journalism
Media organisations using AI should set clear newsgathering and production guidelines to protect journalistic integrity and maintain audience trust.
Tool: Story Weighting System
Different news stories have a different value for your audience and for your business. Giving news items a 'weighting' can lead to impact and efficiencies.
Brand values in news
All news organisations have values. They are the biggest part of the organisation’s brand. Journalists need to uphold these brand values at all times.
Causes of climate change
Journalists must avoid providing false equivalence and false balance when covering news stories – particularly climate change.
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.
Covering climate change
Reporting on climate change presents journalists with major hurdles, as it's a topical, controversial subject rooted in complex scientific research.
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.
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.
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.
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.
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.
Climate change glossary
The following is a list of some of the common climate change terms used by scientists, environmental agencies, governments, activists, and journalists.
The glossary of Information disorder
The following information disorder glossary is designed to help journalists understand the most common terms used.
Disinformation and misinformation
Journalists attempting to deal with 'fake news' need to understand the difference between disinformation and misinformation.
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 importance of keeping records
Journalists who want to inform the audience need to keep records so that they can add context to breaking news stories without having to rely on others for background information




















