3 Matching Annotations
  1. Aug 2020
    1. Schemas aren't neutral

      This section highlights why relying on algorithmic feeds in social media platforms like Facebook and Twitter can be toxic. Your feed is full of what they think you'll like and click on instead of giving you the choice.

    2. When poisoning the well confers benefits to the poisoners, the meta-waters get awfully toxic in short order.

      If we look at Twitter as a worldwide annotation tool which is generating metadata on a much tinier subset of primary documents (some of which are not truthful themselves), this seems to bear out in that setting as well.

      ref: Kalir & Garcia in Annotation

    3. If everyone would subscribe to such a system and create good metadata for the purposes of describing their goods, services and information, it would be a trivial matter to search the Internet for highly qualified, context-sensitive results: a fan could find all the downloadable music in a given genre, a manufacturer could efficiently discover suppliers, travelers could easily choose a hotel room for an upcoming trip. A world of exhaustive, reliable metadata would be a utopia. It's also a pipe-dream, founded on self-delusion, nerd hubris and hysterically inflated market opportunities.

      Apparently this also now applies to politics and democracy too.