Clare Hooper, from the University of Southhampton, is presenting StorySpinner, which is a bit like an automatical story generator. Ractor and Meehan’s TaleSpin are probably among the most famous, Christopher Strachley’s love letter generator probably the oldest of this kind of electronic literature. StorySpinner is built around “cards” (tarot cards, actually) that have links (the Empress is linked to motherhood, for instance) but the reader never sees the links directly. In her prototype, Clare has set up two kinds of story, “The Three Little Pigs”, being the most developed, I think. As a reader chooses a story and a style (standard, long, brief, illogical, explorative) and then you’re shown a deck of tarot cards (though other decks could be used instead) and when you choose one card, that determines the start of your story. You click through the other cards, and depending on how each card is linked behind the scenes,

In prototype, StorySpinner doesn’t have an authoring system, so you have to mark up the styles and stories and links between the cards manually, basically by programming, I suppose. Ideally there’d be an authoring environment, so authors could easily develop their own stories and new styles. She’s also interested in other variables, like for instance, the reader’s mood, or the time of day, and so on.

Clare says she’d love people to try StorySpinner out and to get more feedback on how people find it. You can download it from her website. She’d also like to explore other styles – for instance, logical contraints but no time constraints. At the moment the system is there for exploration, to sit down and see what you can do with it and what you would like it to do.


Discover more from Jill Walker Rettberg

Subscribe to get the latest posts sent to your email.

2 thoughts on “StorySpinner

  1. J. Nathan Matias

    Last night, Clare and I put our heads together. She thoroughly described the backend and logic of the StorySpinner system to me. I’m 90% confident that it will be possible to get Tinderbox to author the files. I just need to find the time to do it :-). Don’t worry. I’ll post the description of the database and logic of the system on my blog soon.

  2. Jill

    Oh, brilliant! See, that’s a good reason for conferences 🙂

Leave A Comment

Recommended Posts

Top of a ransom note from Shinyhunters hacking group. Text reads: "SHINYHUNTERS rooting your systems since '19 ;) ShinyHunters has breached Instructure (again). Instead of contacting us to resolve it they ignored us and did some "security patches"."
Networked Politics University politics

UiB self-hosts the open source version of Canvas, so wasn’t affected by the breach

On May 1st Canvas announced a security breach, and then yesterday the system was hacked. The login page was replaced by a ransom note: if universities don’t pay up by 12 May, student data will be released. Here’s what the login page looked like yesterday: Way back in 2015, when […]

AI and algorithmic culture Networked Politics

AI-generated images, fascist aesthetics: Dieselbrølet and Heimatstrom

My German is pretty dodgy, so when I first saw Heimatstrom on Bluesky, shared by Roland Meyer, a professor of visual culture at Universität Zürich’s Digital Society Initiative, I misinterpreted it and thought it was a far-right campaign. But no, Heimatstrom is a group of left-wing environmentalists using fascist AI […]

Photo of a billboard ad at Oslo S train station showing a smiliing conductor and the text "Du må ikke sove. Joda, bare sov du."
AI STORIES

“Du må ikke sove”: a floating motif detached from its meaning (or: LLMs can write Norwegian but miss cultural references)

There’s a new ad for the train between Stavanger and Oslo in Norway that uses a line from Arnulf Øverland’s famous anti-fascist poem Du må ikke sove (“You must not sleep”). Du må ikke sove, you must not sleep, the ad says. And then it flips it, jovially, joda, bare […]

Academics in Norway: Sign this petition asking for research-based discussions of how to use AI in universities

I just signed a petition calling for Norwegian universities to use research expertise on AI when deciding how to implement it, rather than having decisions be made mostly administratively. ,  If you are a researcher in Norway, please read it and sign it if you agree – and share with anyone else who might be interested. The petition was written by three researchers at UiT: Maria Danielsen (a philosopher who completed her PhD in 2025 on AI and ethics, including discussions of art and working life), Knut Ørke (Norwegian as a second language), and Holger Pötzsch (a professor of media studies with many years of research on digital media, video games, disruption, and working life, among other topics).  This is not about preventing researchers from exploring AI methods in their research. It is about not uncritically accepting the hype that everyone must use AI everywhere without critical reflection. It is about not introducing Copilot as the default option in word processors, or training PhD candidates to believe they will fall behind if they do not use AI when writing articles, without proper academic discussion. Changes like these should be knowledge-based and discussed academically, not merely decided administratively, because they alter the epistemological foundations of research. Maria wrote to me a couple of months ago because she had read my opinion piece in Aftenposten in which I called for a strong brake on the use of language models in knowledge work. She was part of a committee tasked with developing UiT’s AI strategy and was concerned because there was so much hype and so few members of the committee with actual expertise in AI. I fully support the petition. There are probably some good uses for AI in research, but the uncritical, hype-driven insistence that we must simply adopt it everywhere is highly risky. There are many researchers in Norway with strong expertise in AI, language, ethics, working life, and culture. We must make use of this expertise. This is also partly about respect for research in the humanities, social sciences, psychology, and law. Introducing AI at universities and university colleges is not merely a technical issue, and perhaps not even primarily a technical one. It concerns much more: philosophy of science, methodological reflection, epistemology, writing, publishing, the working environment, and more. […]

screenshot of Grammarly - main text in the middle, names of experts on the left with reccomendations and on the right more info about the expert review feature
AI and algorithmic culture Teaching

Grammarly generated fake expert reviews “by” real scholars

Grammarly is a full on AI plagiarism machine now, generating text, citations (often irrelevant), “humanizing” the text to avoid AI checkers and so on. If you’re an author or scholar, they also have been impersonating and offering “feedback” in your name. Until yesterday, when they discontinued the Expert Review feature due to a class action lawsuit. Here are screenshots of how it worked.