Using AI To Help Turn Journalism Into Structured Data

By Jacob Cohen Donnelly
stock.adobe.com

One of the biggest crimes in the journalism business is that we collect so much information from interviewing sources and then two things happen. First, we deliver a cut of that information in an article format, which is inherently limiting. And second, much of the remaining information winds up on the editor’s floor.

And for as long as journalism has been a thing, this has been the case. With the arrival of generative AI, however, there are now opportunities to extract so much more value from all of that information that could turn into new products or enhance the current ones we offer. The key reason for this is because, for the first time ever, it’s cost effective to take unbelievably unstructured information—articles and interview transcripts—and turn it into structured data.

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