Filtering Twitter

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Filtering Twitter

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

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