Svenja Guhr

@guhrs.bsky.social

Based in SF Bay Area 🌁🌉 Computational Literary Studies Postdoc at @berkeleyischool.bsky.social Founding member of @fortextlab.bsky.social Visiting Scholar @stanfordlitlab.bsky.social Editorial Ass. @jcls-io.bsky.social Website: svenjaguhr.github.io

Excellent thread! This also reminds me of David Bamman's work on films as data, which, if I understand correctly, you *are* legally allowed to use for research, as long as you own and retain a physical copy, and as long as you don't enjoy watching it : ) www.pnas.org/doi/abs/10.1...

Measuring diversity in Hollywood through the large-scale computational analysis of film | PNAS

Movies are a massively popular and influential form of media, but their computational study at scale has largely been off-limits to researchers in ...

pnas.org

I curated some readings for class on "data tensions" and the list felt worth sharing. Come on a tour of datasets, books, the web, and AI with me... We'll start with this piece on the Google Books project: the hopes, dreams, disasters, and aftermath of building a public library on the internet. 1/n

Torching the Modern-Day Library of Alexandria

“Somewhere at Google there is a database containing 25 million books and nobody is allowed to read them.”

theatlantic.com

Oftentimes the smartest infrastructure is the simplest one. Today at #DH2026, our lab member Steffi presents a poster on minimal computing in public DH and science communication, with @viktor.im (FU Berlin). Their plea: make it static to make it last – but first ask what's worth keeping. (1/2)

Interested in canon research and world literature? Come to our talk at #DH2026! 📖 »Canons of World Literature Contextualised: Introducing Canon Shelf and Canon Curator« 🗓 Fri July 31, 2–3:30 PM, Room 101-102, S009 We introduce a repository for canon lists & a provenance-aware enrichment pipeline.

What I received from the #DH2026 keynote today is that the humanities should resist turning from: L - P - L' (or P - L - P' in the ideal world I suppose) To: L - L' (L = Learning; P = Practice) Because if all we do is the latter, we will be screwed in the age of AI.

Bild