A newly published academic article flips the old popular premise of robots stealing journalists' jobs on its head. It argues that in a time when attracting talent presents a challenge, AI can actually help local newsrooms – in a couple of ways. For one, automation can take care of routine reporting – tasks that journalists are overqualified to do. Secondly, a newsroom at the cutting edge of tech is a more attractive workplace.
In just a couple of years a major shift has happened in local media with regards to AI and automation of newsroom processes. In February last year, I wrote a blog here about how small newsrooms can benefit from this new tech. At that point, a significant majority of media leaders surveyed in Reuters Institute for the Study of Journalism, thought AI is something that will mainly benefit large publishers.
Newsroom resources are stretched. News deserts expand. Local community information is patchy and hard to find. This perfect storm of local journalism challenges may prove a catalyst for change, and at the eye of it is data. Reliable, comprehensive, updated data.
AI in journalism is here to stay. Scandinavian media especially has come a long way – most have already introduced some form of AI. The report Nordic Survey Study of AI in Journalism, published by Medier & Demokrati, charts Scandinavian news media's use of the technology. Here’s what we can learn from their experiences and challenges.
It's January and the annual Journalism, media, and technology trends and predictions report from Reuters Institute lands on the news industry's virtual desks. Like previous years, the 2022 iteration – based on a survey of 246 media leaders across 52 countries – conveys a snapshot of an industry in constant change. From our point of view, this year marked a milestone. While AI in the newsroom has been discussed in the past few editions, the 2022 report for the first time mentions robot journalism specifically. This aligns with what we're seeing – over the past 12 months awareness of content automation as a newsroom tool has shot up. So let us provide a January 2022 snapshot of our corner of the business of journalism.
Robot journalism as a concept has been around for some years now. The idea can inspire doubt and even dread in editors and journalists. Will the robots replace reporters, who controls them and how, can they be trusted – the questions are many. At United Robots, we and our publisher partners have worked with the reality of news automation since 2015. We see how the robot written content actually supports journalism and we think it’s time to address some of the popular myths that surround it.
During INMA's Product and Data for Media Summit I did a short presentation on how United Robots build automated content without any heavy lifting on the part of the publisher. I thought I'd take this opportunity to do a follow up around the process of getting automated content off the ground. "This is of course a brand new process for most of our clients, but it's what we do every day," says United Robots Head of Delivery Gunnar Södergren. "Our job is to make it as easy as possible."
Imagine publishing an article every time a house is sold in any of the neighborhoods you cover. Complete with images and satellite maps. With robots in the newsroom, generating this volume of content is not an issue. And suddenly, you can reach individual readers in local communities with stories relevant just to them. Here, we’ll look at how this logic is helping news publishers drive journalism and business effects today.
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.
For the publishers we work with, there is one aspect of automated content that really stands out. One key value they leverage – namely the volume of texts the robots can produce. Time and again we see it. Media companies discovering the real benefit of news automation when they start using it to provide coverage where there previously was none. For sports e g, it means you can set up a publishing timeline (see image) for every league, every match, every reader – all generated automatically.