In association with Fojo Media Institute, Linnaeus University, Sweden

Advanced journalism

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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.
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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.
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.
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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.
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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.
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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. 
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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.
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Using AI in journalism

Media organisations using AI should set clear newsgathering and production guidelines to protect journalistic integrity and maintain audience trust.
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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.
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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.
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Causes of climate change

Journalists must avoid providing false equivalence and false balance when covering news stories – particularly climate change.
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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.
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Covering climate change

Reporting on climate change presents journalists with major hurdles, as it's a topical, controversial subject rooted in complex scientific research.
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 accessing data created with Gemini Imagen 3 AI by Media Helping Media

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.
Riz Khan presenting

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.
Image of a journalist covering a health beat/round - created using Imagen 3 by David Brewer of MHM

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. 
Slide by David Brewer released via Creative Commons BY-NC-SA 4.0.

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.
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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.
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The glossary of Information disorder

The following information disorder glossary is designed to help journalists understand the most common terms used.
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Disinformation and misinformation

Journalists attempting to deal with 'fake news' need to understand the difference between disinformation and misinformation.
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.
Slide by David Brewer released via Creative Commons BY-NC-SA 4.0.

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