In Spanish: The inverted pyramid of data journalism part 2 – Online Journalism Blog

A pirâmide invertida do jornalismo de dados mapeia o processo de utilização de dados na reportagem, desde a geração de ideias, passando pela limpeza, contextualização e combinação, até à comunicação. A fase final — a comunicação — apresenta uma série de opções: desde a visualização e sonificação até à personalização e ferramentas. Mas quais são as melhores práticas para cada uma?
(Também disponível em inglês, alemão e espanhol, russo e ucraniano).
A visualização é normalmente a forma mais rápida de comunicar os resultados do jornalismo de dados: ferramentas gratuitas como Datawrapper e Flourish muitas vezes exigem apenas que você carregue os seus dados e escolha entre várias opções de visualização.
Os projetos de jornalismo de dados envolvem várias etapas, cada uma apresentando seus próprios desafios. Para ajudar a compreendê-las, criei o que chamei de ‘Pirâmide Invertida do Jornalismo de Dados’. Ela delineia as etapas que precisam ser consideradas à medida que a matéria avança desde a conceção inicial até a comunicação dos resultados, e como elas se relacionam entre si. Abaixo, explico cada etapa, identifico questões a considerar conforme o projeto avança e ofereço conselhos e dicas sobre como enfrentá-las.
(Também disponível em Inglês, Alemão, Espanhol, Finlandês, Russo e Ucraniano.)
O primeiro desafio que um jornalista enfrenta é conceber uma ideia viável para uma matéria baseada em dados.
Die umgekehrte Pyramide des Datenjournalismus bildet den Prozess der Datennutzung in der Berichterstattung ab, von der Ideenentwicklung über die Bereinigung, Kontextualisierung und Kombination bis hin zur Kommunikation. In dieser letzten Phase – der Kommunikation – sollten wir einen Schritt zurücktreten und unsere Optionen betrachten: von Visualisierung und Erzählung bis hin zu Personalisierung und Werkzeugen.
(Auch auf Englisch, Spanisch und Portugiesisch verfügbar.)
Visualisierung kann ein schneller Weg sein, die Ergebnisse des Datenjournalismus zu vermitteln: Kostenlose Tools wie Datawrapper und Flourish erfordern oft nur, dass du deinen Daten hochlädst und aus verschiedenen Visualisierungsoptionen auswählst.
In a previous post I explored how AI performed on data analysis tasks — and the importance of understanding the code that it used to do so. If you do understand code, here are some tips for using large language models (LLMs) for analysis — and addressing the risks of doing so.
It’s over a decade since I published the Inverted Pyramid of Data Journalism. The model has been translated into multiple languages, taught all over the world, and included in a number of books and research papers. But in that time the model has also developed and changed through discussion and teaching, so here’s a round up of everything I’ve written or recommended on the different stages — along with a revised model in English (shown above; versions have been published in German, Spanish, Finnish, Russian and Ukrainian).
The most basic change to the Inverted Pyramid of Data Journalism is the recognition of a stage that precedes all others — idea generation — labelled ‘Conceive’ in the diagram above.
This is often a major stumbling block to people starting out with data journalism, and I’ve written a lot about it in recent years (see below for a full list).
The second major change is to make questioning more explicit as a process that (should) take place through all stages — not just in data analysis but in the way we question our sources, our ideas, and the reliability of the data itself.
A third change is to remove the ‘socialise‘ option from the communication pyramid: in conversation with Alexandra Stark I realised that this is covered sufficiently by the ‘utilise’ stage (i.e. making something useful socially).
Replacing that is a new communication option — in fact, two: audiolise and physicalise. This recognises the emergence of sonification as a method of communicating data, and physical methods of representing data from crochet to art installations.
Alongside the updated pyramid I’ve been using for the past few years I also wanted to round up links to a number of resources that relate to each stage. Here they are…
I was recently invited to speak to students at Tampere University in Finland, and had the opportunity — with the help of Esa Sirkkunen — to translate the ‘Inverted pyramid of data journalism‘ into Finnish. I’m sharing it here for anyone else who might find it useful.
I recently had the opportunity — thanks to Esa Sirkkunen of Tampere University — to translate the diagram from ‘8 angles that journalists use most often to tell data stories‘ into Finnish. I’m sharing it here for anyone else who might find it useful.
This is the final part of a series of blog posts. The first explains how using feeds and social bookmarking can make for a quicker data journalism workflow. The second looks at how to anticipate and prevent problems; and how collaboration can improve data work.
The final workflow tip is all about efficiency. Computers deal with processes in a logical way, and good programming is often about completing processes in the simplest way possible.
If you have any tasks that are repetitive, break them down and work out what patterns might allow you to do them more quickly – or for a computer to do them. Continue reading →
Mauro Accurso has followed up his rapid translation of last week’s inverted pyramid of data journalism with a Spanish version of part 2: the 6 C’s of communicating data journalism. It’s copied in full below.
La semana pasada les traduje la primera parte de La Pirámide Invertida del Periodismo de Datos de Paul Bradshaw que prometió extender en el aspecto de comunicación del extenso proceso que significa el periodismo de datos.
En esta segunda parte Paul recorre 6 formas diferentes de comunicar en periodismo de datos que pueden ver en el cuadro de arriba y al final encontrarán un gráfico que resume toda la teoría (la cual está en desarrollo todavía y Bradshaw pide aportes, comentarios y sugerencias):
Continue reading →
Barely 7 hours after I published yesterday’s ‘Inverted pyramid of data journalism‘, it had been translated into Spanish – by the wonderful Mauro Accurso. The post is copied in full below.
Ya hace un tiempo traduje todo el Modelo para la redacción del siglo XXI cuya parte principal es el Diamante de noticias en contraposición a la clásica pirámide invertida que enseñan en cualquier facultad de periodismo (luego vimos el ciclo de vida de las noticias digitales: el diamante de noticias reimaginado y otra vez eldiamante de noticias reinterpretado).

Pero ahora una vez más Paul Bradshaw nos trae un diagrama interesante para, en este caso, explicar el proceso de creación del periodismo de datos. Esta pirámide invertida del periodismo de datos muestra de forma simple como se avanza desde una gran cantidad de información que incrementalmente se va enfocando hasta llegar al punto de comunicar los resultados a la audiencia de la forma más clara posible. A continuación, la traducción del artículo donde podemos ver lasdiferentes etapas del proceso de data journalism: Continue reading →
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