Tag Archives: personalisation

Using personalisation makes every AI chat less risky and more effective — here are five essential custom instructions to add


5 personalisation settings for genAI tools

Reduce sycophancy
Tell AI to question assumptions.

Set your context
Add your role, audience, values and goals.

Choose your style
Set language and tone, and require succinctness.

Reduce deskilling
Ask AI to coach, explain and build your thinking.

Allow uncertainty
Set thresholds for quality and context.

One of best things you can do to lower the risks of using AI and improve the quality of outputs is to spend five minutes with one of AI tools’ least-used features: their personalisation settings.

ChatGPT, Gemini, Copilot and Claude all have personalisation features: a section of the tool where you can give it permanent extra information that informs every conversation. You can find it in your general settings under names like ‘instructions’, ‘personal context’ or ‘personalization’, or using the links above.

Here are five instructions you can include in that section:

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6 formas de comunicar jornalismo de dados (a Pirâmide Invertida do Jornalismo de Dados – parte 2)

etapas de comunicação (visualizar, narrar, humanizar, personalizar, sonorizar/materializar, utilizar).

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).

1. Visualização

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.

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Data, data visualization and interactives within news

In this extract from a book chapter in the new Routledge Companion to Visual Journalism, I look at how the explosion of data as a source for journalists, and the separation of content from interface in online publishing, have combined to lay the foundations for a range of new storytelling forms, from interactive infographics and timelines to charticles and scrollytelling.

Although the term ‘data journalism’ is a relatively recent one, popularised around 2010, data has been part of journalism throughout its history, from early newsletters covering stock prices and shipping schedules in the 17th century, to The Guardian’s 1821 first edition front page table of school spending, US investigations of politicians’ travel expenses in the 1840s and campaigning factchecking of lynching in the 1890s.

The introduction of computers into the newsroom in the 20th century added a new dimension to the practice. After some early experimentation by CBS News in predicting the outcome of the 1952 presidential election by applying computer power to data, a major breakthrough came in the 1960s with Philip Meyer’s use of databases and social science methods to investigate the causes of riots in Detroit.

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Investigative journalism’s AI challenges: accuracy and bias, explainability and resources

screenshots of guidelines on AI

Having outlined the range of ways in which artificial intelligence has been applied to journalistic investigations in a previous post, some clear challenges emerge. In this second part of a forthcoming book chapter, I look at those challenges and other themes: from accuracy and bias to resources and explainability.

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FAQ: Big data and journalism

The latest in the series of Frequently Asked Questions comes from a UK student, who has questions about big data.

How can data journalists make sense of such quantities of data and filter out what’s meaningful?

In the same way they always have. Journalists’ role has always been to make choices about which information to prioritise, what extra information they need, and what information to include in the story they communicate. Continue reading →

Reduced Relevance – the downside of social, mobile news

Facebook Activity Plugin

News moves so quickly that your Facebook ‘friends’ just can’t keep up.

In a guest post for OJB, Neil Thurman highlights a new research report that suggests the increased availability of news on mobile platforms, and its harnessing of social networks—like Facebook—to power recommendations, comes at a price: stories that are less relevant to readers’ interests than those recommended by editors and found on news providers’ traditional websites.

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6 ways of communicating data journalism (The inverted pyramid of data journalism part 2)

UPDATE: A new version of the inverted pyramid, with new stages and resources for each, is now available.

Last week I published an inverted pyramid of data journalism which attempted to map processes from initial compilation of data through cleaning, contextualising, and combining that. The final stage – communication – needed a post of its own, so here it is.

UPDATE: Now in Spanish too.

Below is a diagram illustrating 6 different types of communication in data journalism. (I may have overlooked others, so please let me know if that’s the case.)

Communicate: visualised, narrate, socialise, humanise, personalise, utilise

Modern data journalism has grown up alongside an enormous growth in visualisation, and this can sometimes lead us to overlook different ways of telling stories involving big numbers. The intention of the following is to act as a primer for ensuring all options are considered.
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Mapping global events in a local way: BBC Dimensions

BBC Dimensions

This is one of the best BBC projects I’ve seen in a while: Dimensions maps key events, places and things such as the Pakistan floods, the Gulf oil spill and the Afghanistan-Pakistan border – over your postcode.

It’s a simple idea, but hugely effective.

The prototype comes not from the corporation’s News arm – it was commissioned by History. Commissioning Executive for the Multi-Platform Team Max Gadney writes:

“Our challenge was to make it relevant to audiences.

“This is a common desire. Commissioning editors often want stuff ‘made relevant’ – TV producers might translate this as putting a celebrity in it – one we can relate to (Who Do You Think You Are does this very well). How does digital media make something relevant?”

Currently this is a prototype, so feedback is welcomed. I hope that News will be rubbing their hands at the potential applications and making their own suggestions for improvements on those lines.

For once we may be able to stop comparing things to the size of Wales. Unless, of course, you have a Welsh postcode.