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Specialisation in journalism
Some journalists decide to become specialists in specific areas, such as health, crime, the environment etc. These are known as "rounds" or "beats."
Snacking on rumour, feeding on facts
The good news for mainstream media is that the social networking audience still wants facts, but those producing the facts need to rethink how they create and disseminate those facts.
Tool: The Content Value Matrix
In this article we look at the 'content value matrix, a tool designed to help media managers prioritise effort and resources on the stories that really matter to the target audience.
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.
Presenting news content online
A journalist managing a news website is constantly involved in updating, refreshing and repositioning content in time with the evolving news flow.
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.
Fake news and trust chains
"Fake news" encompasses two distinct concepts: fabricated stories masquerading as truth and the dismissal of legitimate news as false.
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.
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Fact-checking and adding context
An essential part of the editorial process is to examine everything we are told to make sure it is factual.
The skills of media project management
If you are planning a media project - whether it be a new programme, covering a live event, launching a new product, there are certain rules you should observe.
Unconscious bias and journalism
Bias is a prejudice or favour for or against an individual or group. It is often an inaccurate and unfair judgement. We are all biased. It’s normal, although it is not desirable.







