[OPLIN 4cast] OPLIN 4Cast #261: Tweets, tweets, what are they good for?

Editor editor at oplin.org
Wed Dec 21 10:39:34 EST 2011


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OPLIN 4Cast

OPLIN 4Cast #261: Tweets, tweets, what are they good for?
December 21st, 2011

<http://www.oplin.org/4cast/wp-content/uploads/2011/12/twitter_newbird_blue.png>It's 
difficult to grasp the amount of information people generate each day in 
the form of short little tweets. Many of these tweets (some people would 
say most of them) seem to be useless information, while some tweeters, 
teamed up with other tweeters, have been credited with bringing down 
governments <http://news.cnet.com/8301-13577_3-20031600-36.html> this 
year. Some organizations think even seemingly useless tweets have value 
and are putting a lot of effort into collecting them - often for very 
different reasons, not all of them benign.

    * Library of Congress says Twitter archive will build "unique record
      of our time"
      <http://thenextweb.com/twitter/2011/12/07/library-of-congress-says-twitter-archive-will-build-unique-record-of-our-time/>
      (The Next Web/Jon Russell) "The archives of tweets will be
      available to [program manager Bill] Lefurgy's team for research,
      as it seeks to find and analyse 'interesting data' from the
      information[...] The number of tweets to be archived has grown
      rapidly from the 50 million a day that was recorded when Twitter
      and the library first linked up last year. According to Twitter's
      latest figures <http://blog.twitter.com/2011/03/numbers.html>, an
      average of 140 million tweets are sent across its service per day,
      that's an awful lot of data to store and analyse."
    * DataSift to offer access to historical tweets
      <http://techcrunch.com/2011/12/07/datasift-historical-tweets/>
      (TechCrunch/Erick Schonfeld) "When the service is launched more
      broadly later next year, it will go back as far as two years.
      DataSift allows for all sorts of data analysis because it pours
      all the tweets into a structured database. So you can give it
      queries like: 'Give me all the tweets that mention TechCrunch from
      people who do not follow @techcrunch' or 'All females in the UK
      who mention fashion.'"
    * Twitter partner Gnip raises $2M for social media monitoring data
      <http://allthingsd.com/20101118/twitter-partner-gnip-raises-2m-for-social-media-monitoring-data/>
      (All Things D/Liz Gannes) "Gnip will offer social media monitoring
      companies the Halfhose (50 percent of Tweets at a cost of $30,000
      per month), the Decahose (10 percent of Tweets for $5,000 per
      month) and the Mentionhose (all mentions of a user including
      @replies and re-Tweets for $20,000 per month), with the caveat
      that they can't publicly display the data."
    * CIA following Twitter, Facebook
      <http://news.yahoo.com/ap-exclusive-cia-following-twitter-facebook-081055316.html>
      (Associated Press/Kimberly Dozier) "The CIA facility was set up in
      response to a recommendation by the 9/11 Commission, with its
      first priority to focus on counterterrorism and
      counterproliferation. But its several hundred analysts - the
      actual number is classified - track a broad range, from Chinese
      Internet access to the mood on the street in Pakistan."

*/Holiday bonus:/*

This is not related to Twitter, but... a former editor of the /4cast/ 
found a very interesting infographic 
<http://blog.sendblaster.com/2011/12/14/have-our-email-viewing-habits-changed-infographic/> 
about email habits. Cool!
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