By Eve Lacroix (Senior Communications Officer), Published
Only AI-generated news videos which have been post-edited by humans are as well liked news videos created by journalists, according to a new study led by Dr Neil Thurman of City, University of London. The research found that, by contrast, viewers liked videos that were entirely automated and reliant on AI significantly less than manually made ones.
News organisations—including Bloomberg, Reuters, and The Economist—have been using AI-powered video services to meet growing audience demand for audio-visual material. Now, new research shows that the automated production of news videos is better with human supervision.
Technology providers like Wochit and Moovly are allowing publishers to mass produce videos at scale. But what do audiences think of the results? Researchers from the UK, Germany, and the US have found that only automated videos which have been post-edited by humans were as well liked as fully human-made videos.
Dr Thurman is a Senior Honorary Research Fellow in the Department of Journalism at City. He said:
![An image of a camera pointed at a a blurry background of two TV presenters sitting on a red couch in front of a low table.](https://www.city.ac.uk/__data/assets/image/0005/790898/varieties/breakpoint-max.jpg)
Together with Dr Sally Stares (London School of Economics) and Dr Michael Koliska (Georgetown University), Dr Thurman evaluated the reactions of 4,200 UK news consumers to human-made, highly-automated, and partly-automated videos that covered a variety of topics including Christiano Ronaldo, Donald Trump, and the Wimbledon tennis championships. The partly-automated videos were post-edited by humans after the initial automation process.
The results show that there were no significant differences in how much news audiences liked the human-made and partly-automated videos overall. By contrast, highly-automated videos were liked significantly less. In other words, the results show that news video automation is better with human supervision.
According to Dr Michael Koliska:
The full article, entitled “Audience Evaluations of News Videos Made with Various Levels of Automation: A Population-based Survey Experiment” was published in the international peer-reviewed journal Journalism on Wednesday 8 May 2024.