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Media Helping Media is hosted by the Fojo Media Institute at Linnaeus University.
Advanced Journalism
Our advanced journalism 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.
Beyond basic fact-checking
Fact-checking is a complex, evidence-based process which goes beyond simple verification, demanding critical thinking and contextual analysis.
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.
The sub-editor: roles, skills, and responsibilities
What does a sub-editor do? This guide covers the core skills, key responsibilities, and modern demands of sub-editing across print and digital newsrooms.
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.
Journalism and propaganda
Journalists must recognise propaganda to avoid spin and deliver factual news. Ensuring the public is properly informed is essential for credible journalism.
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.
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.
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.
Why historical context matters in news reporting
News coverage too often reports events without the historical context. Here we look at why understanding the past is essential to explaining the present.
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.
Disinformation and misinformation
Journalists attempting to deal with 'fake news' need to understand the difference between disinformation and misinformation.
Why follow-up journalism matters
Most news stories need following up. If the original has any value, there will be angles worth developing. If you fail to do so, you let your audience down.
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Content released under Creative Commons
The content on Media Helping Media (MHM) is released via Creative Commons BY NC SA 4.0.