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David McGavock

How to hack RSS to Reduce Information Overload - 3 views

gigaom.com/...to-reduce-information-overload

RSS pipes hack collaboration Dawn Foster evaluate resources information_literacy

shared by David McGavock on 07 Apr 11 - No Cached
  • There is more information available in the world than any one person could hope to consume
  • but most of that information is uninteresting, out of date, inaccurate, or not relevant for you.
  • There is more information available in the world than any one person could hope to consume
  • ...14 more annotations...
  • There is more information available in the world than any one person could hope to consume
  • There is more information available in the world than any one person could hope to consume
  • The key to reducing information overload is to more efficiently find the data you want among the information that you don’t care about.
  • at about the blogs where one in five or one in 10 posts are relevant for you?
  • the real magic is in filtering.
  • My favorite filtering tool is Yahoo Pipes
  • which lets me filter an RSS feed using various criteria: URL, author, date, content and more. 
  • and my some blogs filtered for just the best posts using PostRank.
  • The best thing about PostRank is that you can get an RSS feed of just the best posts from a particular publisher, and that feed then includes the PostRank score,
  • you can do even more hacking on the PostRank RSS feed using Yahoo Pipes.
  • Another technique that helps me to consume information more efficiently is to modify the format of many of my RSS feeds
  • By bringing more details into the title, I can avoid spending time clicking to get more information.
  • The final trick is to use Web APIs to gather additional data
  • isten to the audio from my session
  • David McGavock on 07 Apr 11
     
    There is more information available in the world than any one person could hope to consume (hundreds of exabytes of data), but most of that information is uninteresting, out of date, inaccurate, or not relevant for you. The key to reducing information overload is to more efficiently find the data you want among the information that you don't care about.
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