In association with Fojo Media Institute, Linnaeus University, Sweden

Advanced journalism

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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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Systems thinking for journalists

Systems thinking empowers journalists to provide deeper more meaningful news coverage by moving beyond surface-level reporting to uncover underlying related facts.
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Media safety during elections

Journalists covering elections should never carry a weapon, should have first aid training, dress appropriately, listen to the locals and avoid confrontation.
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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.
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Editorial independence during elections

Election coverage is one of the most critical responsibilities of the media. It shapes public discourse, informs voters, and plays a vital role in safeguarding democracy.
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Data journalism glossary

The following words and terms are commonly used in data journalism. Data journalists might want to familiarise themselves with them.
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Planning effective election coverage

Planning is essential for journalists to produce effective election coverage.
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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.
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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. 
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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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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
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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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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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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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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.
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A journalist must not have an agenda

Our role as journalists is to unearth information, prepare it and then display it for the benefit of the audience. We are not there to fabricate, manipulate or force.
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The role of the media lawyer

Many news stories involve straightforward reporting on events, but some more complex stories might require legal advice before they are published.
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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.
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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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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.
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Tips for motivating journalists

Daily news meetings should be inclusive and agenda-setting. Editors must foster a culture of original ideas and risk-taking to keep staff motivated and alert.
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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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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.