Is college basketball becoming another arena where algorithms quietly write the narrative? The final score – Quinnipiac 67, Canisius 63 – tells you what happened on Sunday in Buffalo. But the fact that this game recap, like a growing number of sports stories, was generated using technology from Data Skrive and data from Sportradar is the more unsettling development. The real story here isn't the Bobcats’ 19-12 season or Asim Jones’ 27 points; it’s the creeping automation of journalism, and what that means for how we understand – and consume – even the most local of sporting events.
This isn’t about robots replacing reporters (yet). It’s about a subtle shift in how information is produced, and a reliance on data-driven storytelling that prioritizes quantifiable metrics over the nuances of the game. Jones’ impressive shooting performance – 10 for 22 from the field, 4 of 9 from three – is accurately reported, as are Keith McKnight’s 22 points and 9 rebounds. But a computer can’t convey the energy of the crowd, the strategic adjustments made by coaches, or the individual moments of brilliance that define a contest. It can’t explain why Jones was hot, or how Canisius’ Bryan Ndjonga (17 points, 8 rebounds) fought to keep his team in the game despite a losing season.
Drawn from CBS Sports.
The implications extend beyond the quality of sports reporting. Data Skrive and Sportradar aren’t offering this service out of the goodness of their digital hearts. They’re selling efficiency to news organizations facing shrinking budgets and staff cuts. The Associated Press is an early adopter, using the technology to cover everything from minor league baseball to college basketball. While the AP maintains editorial control, the reliance on automated content creation inevitably shapes coverage. Consider that Canisius finished the season with a dismal 10-21 record, tied for 11th in the MAAC. A human reporter might explore the reasons behind their struggles – coaching changes, player injuries, recruiting challenges. An algorithm focuses on the box score.
This isn’t to say automated reporting is inherently bad. For quick updates and basic stats, it’s undeniably useful. But the danger lies in mistaking data for insight. The MAAC Tournament, scheduled for Atlantic City, New Jersey, from Thursday through March 10th, will be covered, in part, by these automated systems. Fans will receive accurate scores and statistics, but they’ll miss the human element that makes college sports compelling. The focus shifts from the athletes and their stories to the data points that feed the algorithm. Michael Evbagharu’s 14 rebounds and 5 assists for Canisius are noted, but do we understand what those numbers represent in the context of a struggling team?
The increasing use of AI in sports journalism isn’t a futuristic threat; it’s happening now. And it’s not limited to the AP. Other news organizations are experimenting with similar technologies, driven by the same economic pressures. The question isn’t whether automated reporting will become more prevalent, but how we, as consumers of news, will respond. Will we demand more than just the numbers? Will we support local journalism that prioritizes in-depth reporting and human storytelling? Because if we don’t, expect a future where even your local college team’s biggest wins feel…algorithmically generated.
Here’s what to watch for: over the next year, pay attention to how often you encounter sports stories that feel strangely devoid of personality or context. Specifically, track whether coverage of smaller conferences and less-followed teams becomes increasingly reliant on automated reporting. If that trend accelerates, it will signal a fundamental shift in how we experience college basketball – and a worrying sign for the future of local journalism.
