J.D. Porter

@jdporter.bsky.social

https://www.jdporter.org/ Literature/DH scholar, Price Lab at UPenn | I work on text mining, canons, literature and philosophy, and so on | Writing in PMLA, Synthese, The Atlantic, Cultural Analytics, the Stanford Literary Lab pamphlet series, etc

This is a great dataset! Among many other things it contains info about many of the poets I would once have considered (and probably on some level still consider) the *cool* poets. Your Fred Moten, your Lyn Hejinian, your Craig Dworkin, your Elizabeth Willis, etc. Find your own cool poets now!

Post45 Data Collective@post45data.bsky.social · 4w ago

New dataset hot off the press 🚨 This data documents the bestselling authors and titles distributed by Small Press Distribution (SPD) between 2006-2023, including American poetry, short and experimental fiction, & hybrid nonfiction and essay. Check it out! data.post45.org/posts/small-...

Trump has tried to replicate each other President’s signature failures, from the hits (internment camps, corruption, losing a war in Asia) to the deep cuts (tariffs, destroying the WH, picking a contemptible racist VP), but I’m still kind of surprised to see him going for the William Henry Harrison.

Even if this wasn’t an affront to humanity, and even if it was possible to train an LLM on a one-person corpus (no), using solely one person’s words *obviously* doesn’t guarantee you get their views. Example: you can make the phrase “this wasn’t an affront” from this post.

Hypervisible @hypervisible.blacksky.app · 2mo ago

“The installation, unveiled in February 2024, allows guests to ask Douglass questions through an iPad. Using a closed database of Douglass’s autobiographies and speeches, the artificial intelligence generates responses based solely on Douglass’s recorded words.”

Brunson is pretty clearly the biggest ball hog of any NBA Finals MVP. No one who shot as much as him missed as often. The size of the dot shows assists/game. He was below the median on that front, so not moving the ball around, either. Singular player—not sure we'll see a winner like this again.

Scatterplot showing every NBA Finals MVP. The x axis shows how many shots each player took per game. The y axis shows the player's field goal percentage. The point of the graph is that Brunson took a lot of shots but didn't make very many—in fact, everyone who shot at least as often as him made more, and everyone who missed as many as him shot less. Players are sized by assists per game, and Brunson was a little below the median on that front, so it's not like he was making up for it with playmaking. Also the two players closest to him were great defenders, whereas he is one of the worst defenders ever to get the award. Players are colored more or less by their team when they won, although I was lazy about matching the colors exactly.

Idk what’s going to happen tonight, but I was rooting for the Phillies in the 2022 World Series when Sam Alito decided to attend a game, so I know that karma is real

I think if every well-informed person in the country can understand jokes about your last four mayors, you have to accept that pretty much anyone who moves to your city can quickly become a "true" citizen of it. Hegemony facilitates assimilation.

The scale and dispersion of Knicks fans emerging like cicadas for their team’s once-per quarter-century title run shows us just how much pain James Dolan causes almost every year

How bad a foul baiter is Shai Gilgeous-Alexander? See if you can guess which two dots are his on this graph of MVP seasons. Dots are further right if players shot the ball a lot. Higher dots mean players shot more free throws. Answer lower in the thread.

Graph showing seasons for NBA MVPs since 1974, which is the first year the relevant data exists on Basketball Reference, where I got it. The x axis shows field goal attempts (FGA), reflecting how often a player shot in general. The y axis shows free throw attempts (FTA), reflecting how often a player shot free throws. Both are scaled per 75 possessions, to mitigate differences in pace from one season to the next. You'd expect a clean correlation between FGA and FTA, since shooting is generally necessary for drawing shooting fouls, but these dots are pretty widely distributed.  (R squared in a linear regression is .27, so FGA explains less than a third of FTA). This graph erases some nuance, e.g. you get fewer FTA if you tend to score when fouled (i.e., getting and-1s), but it's still a decent rough picture.

Bam Adebayo now holds the title belt for highest scoring game among active players. He's just the 34th player with this achievement, and the 21st since Elgin Baylor (the first good offensive player).

Graph showing the history of active NBA players with the highest scoring game. The x axis is time, and the y axis shows how much they scored in that game. The graph begins in November, 1959 with Elgin Baylor's 64-point game, and goes to just after Bam Adebayo scored 83 in March of 2026.

In that NYTimes "spot the AI writing" quiz, three of the five examples use the "It's not X; it's Y" tactic. I feel like you see that a lot in all sorts of generated text. What's the deal? Is this really common in the data, or is it somehow emerging from the training or generation process?

Three passages from a NY Times piece that was effectively an ad for Claude, the tool used to generate them. Each has a highlighted excerpt with a characteristically AI-ish "not" clause: 

1. "Not from cruelty, but from understanding..."
2. "The universe is not indifferent to us; we are made of it..."
3. "Ambiguity was not weakness. It was survival."

The Price Lab’s Critical Approaches to AI Working Group has released a white paper in which we advocate for AI-free instruction in reading, writing, & research. These are fundamental skills in the humanities (& in general), & with decisive action we can keep teaching them well in the age of AI!

Critical Approaches to AI Working Group | Price Lab for Digital Humanities

The Price Lab is the University of Pennsylvania's center for innovative uses of technology in the study and teaching of history, art, and culture.

pricelab.sas.upenn.edu

Jazz did a lot of heavy lifting for my sanity in 2025, and for whatever reason (coincidence? not?) it was a really good year for new jazz releases. I wanted to do a little thread about my favorite albums, and give a top five.

I think a lot of people feel an almost familial pride in and love for their cities, and among other things these marches highlight each city, its particular faces, slang, colors, streets, communities. It's ineffable but I think it’s profound.