Content automation:
The publishers’ treasure trove

We’ve been automating editorial content since 2015 and we’ve documented it all. We’ve deployed newsroom automation to fit with the business and journalism strategy of dozens and dozens of publishers. We have learnings to share.

This is our United News knowledge hub
– feel free to explore.

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Only a pragmatic approach to NLG delivers reliable robot journalism

Every month we send hundreds of thousands of robot written articles to news publishers in Europe and North America. Almost all of them are published directly onto sites and apps without going through any editorial checks, so predictability is key when texts are generated. In order to ensure this reliable language quality we have developed our own flavour of Natural Language Generation, pragmatic NLG.

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Robot journalism: Scraping the internet vs using structured data

There’s an important discussion going on in our industry around the use of robots to produce journalism. Having worked in this field for several years now, we’ve heard sceptics question how it’s possible to build algorithms which create consistently reliable and correct articles. This concern is valid when the underlying data is collected by scraping the internet. But when you build your automated content on structured data sets, the risk of error is minimal.  

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