My favourite Stumbles of today:

  • Other People’s Stories:
    Every story on OPS is a story a contributor heard from someone else. These stories have been overheard and misheard, told and re-told and sometimes refined over time. They do not shy from hearsay, gossip, myth or guys we knew in high school. OPS is dedicated to the time-honored tradition of stealing other peopleís material and we therefore recognize our debt to those from whom weíve stolen and acknowledge that these stories do not belong to us. (about.html)
  • The Word Project: Photos of people holding words are put together to make sentences, or rather, the beginnings of sentences. You can add a word to a sentence by sending in a photo of yourself, holding the word you want to add.

2 thoughts on “finds

  1. noah

    I haven’t played with StumbleUpon as much as I might, but I haven’t yet had any great stumbles. So I opened up my profile and checked out my informants. None of them had any thumbs-up sites in common with me! This leads me to think I’m getting my stumbles from the subject areas in which I expressed interest, rather than from the sites to which I gave positive ratings. I wonder how many sites I have to rate positively before I start being informed by people who like the same sites? Or, does no one yet on StumbleUpon share my tastes? Or..?

  2. the sum of my parts

    stumbling…
    i have been happily stumbling ever since jill mentioned it in her site. it is amazing the sites that i am finding! it is exposing me to sites that i would never have found previously, yet are geared to my…

Leave A Comment

Recommended Posts

Machine Vision

Cultural Representations of Machine Vision: An Experimental Mixed Methods Workshop

Call for submissions to a workshop, Bergen, Norway
Workshop dates: 15-17 August 2022
Proposals due: 15 June

The Machine Vision in Everyday Life project invites proposals for an interdisciplinary workshop using qualitative approaches and digital methods to analyse how machine vision is represented in art, science fiction, games, social media and other forms of cultural and aesthetic expression.

Digital Humanities Machine Vision

What do different machine vision technologies do in fiction and art?

For the Machine Vision in Everyday Life project we’ve analysed how machine vision technologies are portrayed and used in 500 works of fiction and art, including 77 digital games, 190 digital artworks and 233 movies, novels and other narratives. You can browse […]