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- 14 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- 16 readers -
  • What Facebook’s new unfollow feature means for brands, publishers

    The millennial mom who documents her child’s every development. The newly engaged couple that just posted their save-the-date photos. The brand page you liked two years ago in the hopes of winning an iPad, and that now begs you to like its #FBF posts at the end of each week. Your Republican friend who’s been gloating since Tuesday. We’ve all been unwitting victims to these Facebook offenders.

    John Mcdermott/ Digiday- 12 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?

    … Concerns about how Facebook’s news feed algorithm values actual news stories and Twitter’s plan to organize tweets algorithmically have ignited talks about the “filter bubble” and its effects on publishers and readers. @UnseeingEyes The Web has turned into an enormous filter bubble…You have to keep searching more all the time 2 find valid…

    John Mcdermott/ Digidayin Google Twitter- 4 readers -
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