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Filtering Twitter
 

Filtering Twitter

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    Filtering Twitter Filtering Twitter Presentation Transcript

    • Twitter is noisy
      but you can find diamonds
    • Pew Internet report:
      “75% of online news consumers say they get news forwarded through email or posts on social networking sites
      and 52% say they share links to news with others via those means.”
    • Twitter Lists
      Filtering main friends timeline is a bad idea
      Twitter Lists: manually created set of users who often post on a certain topic
      For example:
      @huffingtonpost/apple-news
      @IndieFlix/film-people-to-follow
      @alisohani/bigdata-analytics
      A Twitter user can be included into different lists.
      Me for example: http://twitter.com/mariagrineva/lists/memberships
    • What kind of noise?
      People tweet on other topics too, including personal stuff
      Global news widely spread, often really annoying: IPad launch, ash clouds, Christmas, Michael Jackson
    • Our Approach
      Identifying niche topic of Twitter list automatically, at real-time
      Improve the niche topic with respect to the Global Twitter Stream
      If there is a burst related to Apple, IPad => check maybe all Twitter is talking about that
    • Filtering = Classification
      Traditional approaches to filter news use only textual features
      We use both textualand socialfeatures for classification
      Twitter lists is a community of interconnected users => see who is the center and who is an outsider