Any technology we imagine will become reality — even if decades later.

  1. In 1889, Jules Vernes foresaw live news: “Earth Chronicle is every morning spoken to subscribers, who, from interesting conversations with reporters, statesmen and scientists, learn the news of the day.” In 1980, CNN launched the first TV channel providing 24-hour news coverage.

Computational journalists to develop high precision AI systems with experts in the loop to distill data used by professionals and investors in the life sciences sector.

Applied XL raises $1.5M to develop high precision AI systems that distill insights from big data, giving professionals and investors access to reliable life sciences information.

Editorial algorithms are developed by computational journalists and guided by journalistic principles.

What does this flood of data mean for the people whose job it is to make information accessible? …

  1. From a machine learning perspective, journalism is *simply* event detection applied to continuously updating data.
  2. Let’s look at an hypothetical example where there’s a lot of reliable data: Sports. If we were to monitor all the professional soccer/football matches around the world, occurring over a given weekend, how do we determine what the most newsworthy games were?
  3. That decision is traditionally made by a journalist based on their domain knowledge and context of the subject — they may emphasize matches that had the biggest offset, focus on top ranked teams, or even pay more attention to teams where highly paid…

This is why journalism must evolve into becoming an “Information Science”

The crisis has shown a secondary, positive side effect: accelerating the speed of journalistic innovation.

Data scientists are working alongside journalists to explore how well-established machine learning methods can help to easily find gaps in editorial coverage.

Coverage Map is a tool that can find opportunities in WSJ’s editorial coverage and audience impact by using deep learning.

The Wall Street Journal is experimenting with a new approach for reporting how smart algorithms work, beyond simply describing them.

Image Credit: Gabriel Gianordoli/ WSJ

Developing “extreme future scenarios” can help media leaders drive cultural change and implement sustainable newsroom innovation.

Four extreme scenarios developed in the context of AP’s futurecasting exercise.

“It’s essential to look ahead and anticipate change,” said Jaime Holguin, AP’s manager of news development. …

Francesco Marconi

Computational journalist and co-founder of Applied XL. I write about data science, storytelling and innovation.

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