automation, journalism, machine learning

Inject: How machine learning can help journalists to discover new angles of a story

These last years, we’ve seen how machine learning is helping journalists with their day-to-day tasks such as finding stories, doing photography work or fact-checking. These are algorithms that enable computers to learn patterns from data (Diakopoulos, 2019) and speed up the process of publishing.

However,  we are starting to see initiatives that aim to help journalists on the ideation and creative steps. Could a tool that uses machine learning techniques generate new angles on existing or new stories?

Inject, a collaboration tool between journalists in Europe, aims to help journalists by offering different points of view, concepts or angles on the interested topics so that it can be represented in a different way.

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5 takeaways from #MWC19

The Mobile World Congress in Barcelona this year has mainly focused on 5G and how Artificial Intelligence can be applied to image recognition (mainly food) or voice recognition (sounds, voices, etc).

Below 5 takeaways from this year’s edition that can give an overview of what is on big companies’ table.

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audience, data visualization, infographic, Interactivity, virtual reality

Placing the user within the story: 3 good approaches

One of the oldest and most important unwritten rule says that you shouldn’t rely on words to tell your story.

Jerry Jenkins defines telling as simply informing your reader of information, rather than allowing him to deduce anything (showing).

In an information-saturated age, facts and figures don’t stick in our minds and the audience demands stories (Morgan, 2014).

Immersive reality, or interactive visualisations, amongst other technologies, facilitate media and companies to go beyond telling or showing and are placing the audience within the story.

An easy topic to apply these techniques are natural disasters. Audiences can hardly place themselves into the affected area or respond quickly to these dangers, and smartphones can help in this learning.

Below three good approaches:

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automation, chatbots, journalism, social media

These two chatbots will help you on your day-to-day work

I usually get the question on which is the chatbot I like the most, so I’ve decided to share two good initiatives that help me on my routine and to speed up some of the tasks.

When I first interact with a bot, I try to get some of the below out of them:

  • Presentation – To know what the bot can and cannot do
  • Information displayed in different ways: combination of text, buttons, images.
  • Proactive, but not spammy
  • Sense of humor
  • The bot intelligence/understanding to avoid getting frustrated when I don’t get the expected result

However, I chat again frequently if I find them useful for my day-to-day work. The two chatbots below are living on Facebook Messenger and want to facilitate users’ routine by summarising or double checking information that is on the red.

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data journalism, data visualization, infographic, journalism

5 great (and offbeat) World Cup 2018 visualizations

The World Cup 2018 has been running for a week in Russia now, and several data visualizations have been released to guide the user through the teams and showcase the winner.

From all publications, I’ve selected 5 that have an add-on to the conventional graphics from a competition where the same rules, process and data applies every four years.

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automation, chatbots, media, social media

This is what I learned after teaching on chatbots and journalism: 3 takeaways for newsrooms

For the past year, I’ve been invited to share some ideas on how bots can help newsrooms to deliver news and how to build an engaging chatbot experiences. And throughout these classes, I’ve also had challenging questions on how these technologies are pushing the boundaries of ethics, artificial intelligence and storytelling.

Below 3 takeaways for newsrooms that want to begin this chatbots journey.

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data, data journalism, data visualization, graphic design, infographic, instagram, journalism

“I tried to deal with numbers as professional as I could. But behind these, there were people, and I couldn’t run away from it” says Ferran Morales

What should we ask to the data? What is data telling us? And what is actually not telling?


Ferran Morales showing infographics from Zainab’ story

Ferran Morales, data journalist and graphic designer at El Mundo Deportivo, explains his challenge on processing refugees data to map The story of Zainab, an 11 years-old Syrian refugee girl and her family that had to leave their home because of the war in 2011.

This project was created by a group of people from Media Lab Prado under the Visualizar 2017, a workshop for prototyping data visualisation projects.

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