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How research institutes should write media releases in 2026 

concept illustration of a journalist and ai


In 2026, good research media releases explain their public value early, avoid unnecessary technical language, and give journalists material they can use immediately. They are written for people first, but structured so automated systems can read them accurately.  

 

Why media releases still matter 

Media releases remain one of the main ways research organisations enter public discussion. 


Despite changes in newsrooms and the rise of automated tools, journalists, policymakers, and platforms still rely on them for verification, context, and access. In many cases, a release becomes the starting point for how a finding is understood outside the research community. 


When a release is unclear, inaccuracies are more likely to spread. When it is precise, reporting is more likely to stay anchored to the evidence. 


In 2026, this matters more than ever. Information moves quickly. Misinterpretation is easy. Structure is one of the few controls organisations still have. 

 

The 2026-ready media release structure 

Strong media releases follow a consistent internal logic. This is not about templates for their own sake. It is about making sure information can be understood, reused, and verified under time pressure. 

 

Step 1: Write a headline that describes impact 

Many research headlines still describe process. 

They should describe consequence. 


Weak: Institute announces results of new coastal erosion study 

Functional: New study shows Victorian coast losing up to two metres a year 


The second headline tells readers what the study found and why it matters. The first focuses on the organisation and the act of announcing it. The impact should be first. 

 

Step 2: Use the first paragraph to establish news value 

The opening paragraph carries most of the weight. 


It should answer four questions clearly: 

  • What happened 

  • Who is responsible 

  • Why it matters 

  • Why now 


If any of these elements are missing, the release becomes weaker. Journalists and automated systems focus first on the headline and opening paragraph, so delays in clarifying the message reduce visibility. Meaning needs to appear early, not emerge gradually. 

 

Step 3: Translate research into public value 

Most research is written for peers. Media releases are not. A finding becomes news when its implications are clear. 


Technical framing: The model demonstrates statistically significant variance in sediment displacement. 


Public framing:The model shows that storms are reshaping beaches faster than councils can repair them. 

 

This is not about simplifying ideas. It is about explaining why they matter. Translation preserves accuracy while making the work accessible to a wider audience. 

 

Step 4: Use quotes that add information 

Many releases include quotes. Few use them well. 

 

A functional release usually needs two types: 

  • An authority quote that interprets the findings 

  • An impact quote that explains practical relevance 

 

Avoid generic praise. Avoid institutional self-reference. If a quote does not add meaning, it weakens the release. 

 

Step 5: Provide journalist-ready assets 

A media release is rarely the final product. It is a starting point. 


Support it with: 

  • High-resolution images and captions 

  • Links to source material 

  • Plain-English summaries 

  • Named media contacts 

  • Clear availability windows for experts 

 

When these are missing, the risk of inaccurate reporting increases. 

 

How AI Has changed media coverage 

In 2026, many media releases are read by automated systems before a journalist opens them. They are scanned, summarised, ranked, and redistributed across search engines, news platforms, and AI tools. The way a release is structured now plays a direct role in how it is interpreted and reused. 

 

This has practical consequences. Unclear openings are more likely to be misread. Technical language is often stripped of context. Clarifications about meaning, limitations, or significance that appear later in the release are frequently ignored. Clarity is no longer only about helping readers. It is about managing how information moves through digital systems. Writing well now shapes whether research is represented accurately in public discussion. 

 

Common mistakes research institutes still make 

The same problems appear across many research organisations. Releases often lead with funding announcements rather than findings. They open with institutional background instead of public relevance. Acronyms are used without explanation. Approval processes push publication past the point of peak interest. Some releases still appear only as locked PDFs, with no usable assets and no genuine access to experts. 

These are not stylistic issues. They are process failures. They occur when internal priorities take precedence over how material will actually be used. 

 

Accessibility, compliance, and discoverability 

Accessibility is not a compliance add-on. It affects who can use the material and how far it will travel. 


Readable releases are more likely to be shared, indexed, and reused. 

Key principles include: 

  • Plain English sentence structure 

  • Limited nominalisation 

  • Alt text for images 

  • Preference for HTML over locked PDFs 

  • Consistent metadata 

  • Mobile-friendly layout 


These practices improve human access and machine indexing at the same time. 

 

A 2026-ready media release template 

The following structure works across platforms. 


Headline Outcome-focused. Avoid leading with the organisation’s name, structure, or internal processes. 

Subheading Optional. Adds scope or scale. 

Opening paragraph Who, what, why, why now. 

Context paragraph Brief background. No extended history. 

Quote: Authority Interprets findings. 

Impact paragraph Explains consequences. 

Quote: Impact Connects to real-world use. 

Supporting detail Methods, partnerships, limitations. 

Boilerplate Short. Factual. Current. 

Media contact Named. Available. Verified. 


Templates support consistency. They do not replace judgement. 

 

When to consider using AI (and when not to) 

AI tools are now embedded in many communications workflows. Used well, they reduce time and unnecessary effort. Used carelessly, they introduce risk. 


Appropriate uses include: 

  • Drafting early versions 

  • Testing headlines 

  • Reducing length 

  • Converting technical language 

 

They should not be used for: 

  • Final approval 

  • Risk assessment 

  • Crisis communication 

  • Sensitive stakeholder messaging 

 

AI accelerates production. It does not replace responsibility. 

 

Final checklist 

Before distributing a release, confirm: 

☐ Is the public impact clear in the first 20 words?  ☐ Can a journalist reuse this without rewriting?  ☐ Would a non-specialist understand it?  ☐ Are experts genuinely available?  ☐ Are assets complete and accessible?  ☐ Does the structure support automated reading? 


If any answer is no, make revisions. 

 

Closing note 

In 2026, research communication is no longer linear. A single media release informs journalists, policymakers, search engines, and language models at once. Each reads differently. All depend on structure. 


Good releases do not promote institutions. They clarify outcomes. That distinction determines whether research is seen, understood, and trusted. 

 

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