Journalism
Information, sources, verification and editorial responsibility.
Journalism and storytelling
A project, a person, a piece of data or a result becomes interesting once we manage to understand its meaning. VIVALDI18 STUDIO combines journalistic method and narrative skill to build content that is credible, accessible and able to hold attention without distorting reality.
ANTONIO AI is VIVALDI18 STUDIO's AI orientation assistant: it helps frame the request, it does not carry out journalistic research and does not replace verification.
A project, a result or a set of data exists but there is no narrative thread able to make it understandable and credible.
A conversation to understand what materials already exist and what is still missing.
The story begins once we know what we really have to say.
The story is not the starting point: it is what remains once different materials have been verified, understood and put in order.
Uneven fragments: documents, numbers, voices, notes, references.
Story
Understandable, attributable content that can be sustained with the elements gathered: every claim can be traced back to what supports it.
Goal, audience, context, people and materials already available.
Facts, documents, data, sources, testimonies and context.
Reliability, provenance, attribution, consistency and contradictions.
We distinguish what we know from what we are explaining, assessing or forecasting.
Structure, title, opening, development, voice, language and format.
Accuracy, comprehensibility, attributions, tone, accessibility and sensitive topics.
They are four different things. Keeping them distinct is what makes content verifiable for the reader.
An opinion does not become a fact because it is well written.
A forecast does not become a result because we wish it would happen.
Whoever agrees to speak makes part of their own experience available. The story must render it within its context, without forcing its meaning.
The person comes before the narrative effect.
Dignity, context and correct use of information matter for everyone, with particular care when minors or people in vulnerable conditions are involved.
They are three legitimate forms, with different rules and purposes. The problem is not choosing one, but confusing them.
Information, sources, verification and editorial responsibility.
Content produced from the organisation's declared point of view.
Content with an explicit commercial purpose.
The reader must be able to understand what kind of content they are reading.
An AI output is not a source.
AI must not invent what is missing from the story.
A number, on its own, does not tell a story. Before using it in a piece of content, we ask ourselves some questions.
Two phenomena that move together are not necessarily one the cause of the other: correlation and causation stay distinct even when the story would be more effective by blurring them.
Technical, scientific, health, environmental, regulatory or otherwise complex topics can be explained simply without losing accuracy. The difficulty, often, is not in the content: it is in how it is organised.
We work on language, structure, hierarchy of information and examples, checking that the text remains readable and understandable even for those unfamiliar with the topic. When the topic touches comprehensibility and usability barriers, the work connects with the Digital, cognitive and physical accessibility expertise.
The choice of format follows from what we have to tell, the audience, the goal, the materials available, the channel and the depth needed. Starting from the format often means adapting reality to the container.
When telling the story of funded projects, sustainability initiatives or results, four levels must be kept separate.
What was planned
Planned
What the project set out to do.
What was done
Done
Which activities were actually carried out.
What was produced
Produced
Which concrete outputs resulted from them.
What changed
Changed
What actually changed, and for whom.
Evidence first. Then the story.
A project goal is not a result achieved, and is not presented as such.
Typical situations built for explanatory purposes: they are neither real cases nor results achieved.
Illustrative example · Funded project
An organisation needs to report activities and results to stakeholders and the public, keeping goals, activities carried out and observable effects distinct.
Illustrative example · Foundation
It has data, testimonies and initiatives, but lacks a narrative able to connect them into an understandable path.
Illustrative example · Company
It needs to explain a complex technical topic to a non-specialist audience, without simplifications that alter its meaning.
Illustrative example · Non-profit
It wants to tell the story of its work's impact without reducing beneficiaries to mere emotional stories.
It could be a project, a person, a result, a territory or a complex topic. We can start from the materials that already exist and understand together what we know, what's missing and which form can make the story understandable without betraying it.
Every engagement is built and followed together with the client, with shared goals, activities and progress.