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

    … relevant radio segments. But while these efforts may help publishers increase reader engagement, they also risk limiting readers solely to stories they already interested in. The filter bubble, as the concept is known, has been used to explain why the algorithm-driven Facebook is more likely to give readers stories about the Ice Bucket Challenge than…

    Ricardo Bilton/ Digidayin Social How To's- 13 readers -
  • Facebook makes strides in breaking news, but still trails Twitter

    … “filter bubble” in this respect. Facebook has since made a concerted effort since then to help users better discover and follow timely news stories. In September, Facebook updated its news feed algorithm so as to ensure users didn’t miss time-sensitive posts. The announcement never mentioned Ferguson factoring into the decision, but the timing…

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

    … group director for social and content strategy, saying it will provide useful data as to what users don’t like and thus help reduce wasted ad spend. “Brands on facebook will be forced to get more creative or pay for it,” according to TBWA\Chiat\Day’s director of digital strategy Rohit Thawani. “It’s about time.” So while the poor will get poorer, the rich will get richer (namely, Facebook itself). The post What Facebook’s new unfollow feature means for brands, publishers appeared first on Digiday. …

    John Mcdermott/ Digidayin Social Facebook- 9 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?

    … that claim, but it was hard not to suspect something was awry last month when Facebook newsfeeds became clogged with updates about the Ice Bucket Challenge when there were so many other more serious viral news stories in the world. John Battelle, co-founder of NewCo, argued that Facebook’s new commitment to featuring “high quality content” in news feed…

    John Mcdermott/ Digidayin Google Twitter- 2 readers -
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