Amusing video: “I look at people who have 100 friends on Friendster the same as I look on people in the real world who have 30 sexual partners.” (via Danah)


Discover more from Jill Walker Rettberg

Subscribe to get the latest posts sent to your email.

3 thoughts on “small world”

  1. eenk

    What do you mean by that. Too many or too few?

  2. Dennis G. Jerz

    Interesting calculus… I think just a one encounter with my one sexual partner (or, for those of us who are hopeless romantics, “spouse”) is worth far more than 3.33 Friendster links.

  3. Blog de Halavais

    Remaindered Links
    Elena: Nuclear Biker – A photographic tour of the “dead zone” around Chernobyl. Fascinating. Utopian schooling? – Touring the campus…

Leave A Comment

Recommended Posts

screenshot of blogpost from sept 11, 2001, about blogger.com showing blog posts about the attacks
Networked Politics social media

25 years since September 11

I’ve been reading through my blog posts on September 11, 2001 and the days that followed. The things that stand out to me – in addition to the horror of the attack itself – are how massively we (or at least I) used the web to understand what was happening, […]

AI STORIES

AI-generated stories have longer endings than human stories

My colleague Jessica Witte has just shared a preprint where she compared the emotional arcs of the stories we generated using gpt-4o-mini to those of human-authored (pre-2022) stories from the subreddit r/WritingPrompts, conveniently gathered in this dataset. She found a distinct difference in the endings of the LLM-generated stories: both […]

How to peer review a paper in 2026

Dorothy Bishop, a psychologist, wrote a useful list of what reviewers need to look out now that so many papers are bad science that looks good thanks to LLMs. Read her whole blog post, she explains it well, but here’s a brief version because I’m pretty sure we’ll be needing […]

“So what if it was ChatGPT? It *could* have been true!”

I recently read a good article on the different kinds of truth a language model operates with by Luke Mann, Liam Magee and Vanicka Arora, Truth Machines: Synthesizing Veracity in AI Language Models, but despite its lovely typology of truths (consensus, correspondence, coherence and pragmatic) it doesn’t help me with […]

AI STORIES

AI shimmer and sparkle

I have this hunch that sparkles and glow and shimmer are somehow a point in the latent spaces of LLMs that have more connections than you would expect. Perhaps their connotation to magic and to the unknown matches some of the mystique of genAI? Or perhaps these words are used […]