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Four short links: 22 December 2009

Trading Systems, Streaming iTunes, Scheduling App, Crowdsourcing Lessons

  1. Trading Shares in Milliseconds (Technology Review) — With the rise of automation, the bulk of U.S. stock trading has moved from the once-crowded floor of Manhattan’s New York Stock Exchange (NYSE) to silent server farms run by exchanges and broker-dealers across the country: the proportion of all trades that the NYSE handles has shrunk from 80 percent in 2005 to 40 percent today. Trading is now essentially a virtual art, and its practitioners put such a premium on speed that NASDAQ has considered issuing equal 100-foot lengths of cable to the brokers who send orders to its exchange servers. (via Hacker News)
  2. Stream iTunes Over SSH — short script that lets you tunnel itunes from one machine to another over ssh (by default iTunes only shares on the local network).
  3. Doodle — simple way to schedule a common meeting time. (via joshua on Delicious)
  4. Crowdsourcing — Simon Willison’s thoughtful “lessons learned” from his crowdsourcing projects at the Guardian. Crowdsourcing is not as simple as “give them a wiki and they will fill it” (this is related to the failed “everyone in the world wants to work on my broken payroll system” theory of open source), and Simon explains some of the subtleties. The reviewing experience the first time round was actually quite lonely. We deliberately avoided showing people how others had marked each page because we didn’t want to bias the results. Unfortunately this meant the site felt like a bit of a ghost town, even when hundreds of other people were actively reviewing things at the same time. For the new version, we tried to provide a much better feeling of activity around the site. We added “top reviewer” tables to every assignment, MP and political party as well as a “most active reviewers in the past 48 hours” table on the homepage (this feature was added to the first project several days too late). User profile pages got a lot more attention, with more of a feel that users were collecting their favourite pages in to tag buckets within their profile.
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