Filter Bubble

A filter bubble is a result state in which a website algorithm selectively guesses what information a user would like to see based on information about the user (such as location, past click behaviour and search history) and, as a result, users become separated from information that disagrees with their viewpoints, effectively isolating them in their own cultural or ideological bubbles. Prime examples are Google's personalised search results and Facebook's personalised news stream.
Posts about Filter Bubble
  • How HuffPo woos Facebook hoppers with personalization

    … more relevant to individual readers both increases their shelf life and improves the chances that readers will click more articles. And it’s working. Sloe said that The Huffington Post’s personalization, which is built on top of AOL’s 2014 Gravity acquisition, increased article click-through rate by over fifty percent on average. Traffic patterns…

    Ricardo Bilton/ Digidayin Social How To's- 12 readers -
  • Facebook makes strides in breaking news, but still trails Twitter

    …, where news about the shootings was at the bottom of the social network’s recently created trending topics section, behind such news stories as rapper Ludacris’ long-awaited marriage to girlfriend and the reappearance of former Baywatch star Yasmine Bleeth. It didn’t take long for the shootings to climb the trending topics section, however…

    John Mcdermott/ Digidayin Social- 10 readers -
  • What Facebook’s new unfollow feature means for brands, publishers

    … about a publishers’ popularity than some objective definition of its worth. As the rioting in Ferguson, Missouri, from earlier this year was essentially muted on the platform in favor of Ice Bucket Challenge videos, Facebook’s filter bubble can at times hide important stories. Many agencies execs welcomed the change, with Jill Sherman, DigitasLBi’s…

    John Mcdermott/ Digidayin Social Facebook- 8 readers -
  • The NYT loves native, not so much programmatic

    … around aggregation is tough,” he said. On the filter bubble While The Times has become increasingly dependent on Facebook, Google and Twitter for distribution, it has no plans to co-opt their algorithms. “The New York Times brand stands for and will always stand for a very high human component. Not clever tricks of news gathered by other people…

    John Mcdermott/ Digidayin Google Facebook Twitter- 8 readers -
  • WTF is the filter bubble?

    … echo chamber,” according to Jarno Koponen, co-founder of media discovery app Random. Teal Newland, vp of global revenue and marketing at StumbleUpon, said recommendation widgets like Outbrain and Taboola also contribute to the filter bubble by only driving traffic to already popular stories with sensationalist headlines. OK, so what’s so bad about…

    John Mcdermott/ Digidayin Google Twitter- 2 readers -
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