How we’re using topic modeling to understand news coverage of data centers
Data centers have become a growing part of news coverage across the country, bringing together stories about AI, energy, jobs, costs and local development. But with thousands of articles published across national and local outlets, it can be difficult to see what the coverage looks like as a whole.
That’s where the Automated News Coverage Tracker comes in. Developed at Northeastern University, the project uses computational methods to analyze large collections of news stories and explore how coverage differs across topics and regions.
For its first use case, the team is looking at AI data…
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