News automation: The publishers’ treasure trove

We’ve been automating news since 2015 to fit with the business and journalism strategy of dozens and dozens of publishers. We have learnings to share.

This is our newsroom knowledge hub
– feel free to explore.

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Why and how what we do is unique

At United Robots, we see ourselves as a service provider within news automation. We design, build and support the whole chain of actions required to get it up and running continuously within an organisation.

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.

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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