12 Matching Annotations
  1. Feb 2019
  2. Feb 2018
  3. Aug 2017
    1. This is, in essence, how all algorithms work. It’s how filter bubbles are made. A little bit of computer code tracks what you find engaging—what sorts of videos do you watch most often, and for the longest periods of time?—then sends you more of that kind of stuff. Viewed a certain way, YouTube Kids is offering programming that’s very specifically tailored to what children want to see. Kids are actually selecting it themselves, right down to the second they lose interest and choose to tap on something else. The YouTube app, in other words, is a giant reflection of what kids want. In this way, it opens a special kind of window into a child’s psyche.
  4. Apr 2017
  5. Mar 2017
  6. Jan 2017
    1. In the spreadsheet below, you can see (and download) the latest data describing TrumpWorld. Each row represents a connection between a person and an organization (e.g., The Trump Organization Inc. and Donald J. Trump), a person and another person (e.g., Donald J. Trump and Linda McMahon), or two organizations (e.g., Bedford Hills Corp. and Seven Springs LLC).Now we are asking the public to use our data to find connections we may have missed, and to give us context we don’t currently understand. We hope you will help us — and the public — learn more about TrumpWorld and how this unprecedented array of businesses might affect public policy.
  7. Aug 2016
    1. there’s a story about how Twitter was more popular with black people than white people, years ahead of most mainstream coverage of the platform’s influential role in public discourse on race.

      interesting information about twitter