The study surveyed over 3,000 UK-based online news readers, each evaluating one of 24
One key complaint revolved around language choice in AI articles, with readers pointing out an excess of unusual or overly complex words. Another significant sticking point was how AI-handled numbers and data. For many readers, this treatment was confusing and disrupted the flow of the article, leaving them less satisfied with the
Interestingly, readers did find parity between the two types of articles in terms of narrative flow and structure. However, the challenging word choice and awkward handling of data remained a stumbling block for AI-produced articles.
Professor Neil Thurman, who headed the project, emphasised that refining the automated content process could help bridge the
This research highlights the nuanced role of human editors in AI content creation. As newsrooms consider AI’s potential, balancing efficiency with clarity remains key. “Our results indicate the importance not only of maintaining human involvement in the automated production of
While automation is here to stay, this study makes one thing clear: a human touch still plays a critical role in making news accessible and engaging.