Live notes from LeWeb’09. They could be inaccurate, although I do my best. You might want to read other posts by official bloggers, in various languages!
Do we really use too many buzzwords? Right now, “real-time”. Some words Kevin has found useful to describe the new web.
- Flow: the stream metaphor.
- Faces: we expect faces. Making the face bigger makes the information more relevant. A large part of our brain is about faces.
- Phatic: an action that is designed for social interaction, grooming purposes, not to communicate content.
- Following: not assuming that all relations are bi-directional. Basic pattern of the web. Hyperlinks go in one direction. This is what allowed the web to scale to the size it is. Very powerful in a social context too.
- Semi-overlapping publics: not just “one” public space, which is an invention of mass media. We all see a different web. We have different publics.
- Mutual media: all these networks are ways of making sense of the world, filtering the web for each other to make it more interesting.
- Small world networks: it’s easy for information to flow through these networks, and there are also long-range links, so we don’t stay locked up in our small worlds.
- Out-groups: homophily, minimal group paradigm. Different parts of the web as different countries. You feel alien when visiting another online community than those you’re familiar with.
- Tummeling: the person who connects people with each other. The life and soul of the party.
That’s Kevin’s set of words that help him think about the web.
Similar Posts:
- Bad With Faces, Good With Names
- Lift10 Redefinition of Privacy: Olivier Glassey
- Entry-Level Diagnostic Quizz on eCulture
- Ethics and Privacy in the Digital Age
- Lara Srivastava
- Blog Stuff
- LIFT08: Pierre Bellanger (Skyrock)
- LIFT08: Kevin Marks (Google Open Social: The Social Cloud)
- Defriending, Keeping Connections Sustainable and Maybe Superficial
- Working on my Professional Site




















Deb Roy: The Birth of a Word
[fr]
Une vidéo fascinante sur l'apprentissage du langage -- et aussi sur le traitement et la visualisation de quantités étourdissantes de données linguistiques. A regarder.
[en]
Ah yes, another video. You see, some evenings, instead of sitting in front of the TV (not my usual evening occupation, by the way), I sit in front of my computer and watch videos I’ve queued up on Boxee — or hunted down for the occasion. No surprise, TED Talks are a favourite hang-out of mine.
Here’s one titled The Birth of a Word: researcher Deb Roy recorded the whole three first years of his son’s life to gather data which, once analyzed, would bring insight on how we learn language.
It’s fascinating. Fascinating for the language geek in me, and also fascinating from a data visualisation and analysis point of view. In the second part of his talk, Deb moves on to analysis of publicly available commentary (online) matched to TV shows they’re about. The visualisation is stunning (he’s showing us real data) and the implications left me feeling giddy.
Your turn.
Hat tip: thanks to Loïc for pointing out this video on Facebook.
Similar Posts: