Below the Fold: “I used New York Times API/archive data to build an explorer of the paper’s coverage over the last 25+ years: 1.5 billion words across 2.2 million articles by about 26,000 reporters. You can use it to look at:

• which reporters covered which beats
• who shared bylines with whom
• article frequency and length
• headline-word frequency over time
• section comparisons
• U.S. and global coverage patterns

A few things that jump out at me:

• to the surprise of no one, Maggie Haberman dominates recent byline counts
• Trump dominates headlines compared to other recent presidents, even when OOO
• Iowa surges every four years
• China coverage peaked around 2014
• India looks relatively under-covered on a per-capita basis

I began this in Python a couple of years ago during the Lede Program at Columbia J School but revived it recently with Claude Code for a lot of the grunt work. Any errors are mine. Let me know what you think! Explorer: https://tedalcorn.github.io/nyt/