filter bubble

Customized results from search engines and social media that are geared to the individual based on that person's past preferences. A filter bubble means two people searching for the same thing receive different results. Proponents say this delivers a better user experience, while opponents claim the information is always slanted and does not provide a sufficient variety of opinions.

Polarizing the Country
With regard to politics, filter bubbles most assuredly continue to divide America, as people's opinions are reinforced on a daily basis. In addition to the online world, it seems there are hardly any radio stations or TV channels that report both sides of a story with equal intensity. Magazines and newspapers are also typically slanted. One exception is "The Week" magazine, which is noted for publishing both sides of a story. See filter.

The Filter Bubble

Eli Pariser coined the term. In his 2011 book, he cited an earlier Google announcement that it would start using some 57 signals to determine the results it reports to users.

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References in periodicals archive

This is very similar to what happens with filter bubbles (Pariser, 2011) and echo chambers on social media in general and on Facebook in particular.

The Role of Beliefs and Behavior on Facebook: A Semiotic Approach to Algorithms, Fake News, and Transmedia Journalism

Indeed, the ways in which algorithms have segmented elements of society into their own "filter bubbles" has resulted in a scenario where the very essence of truth is now in question.

The Impact of Digital Technology Upon Democracy

Even Pariser, who gave the filter bubble its name, agrees the internet isn't entirely to blame.

No, big tech didn't make us polarized (but it sure helps): Social-media bubbles tell only part of the story of why we're so divided. The rest is in our heads

While the app will enable users to get "personalized" news, it will also include top stories for all readers, aiming to break the so-called filter bubble of information designed to reinforce people's biases.

Google Pushes Artificial Intelligence for Upgraded News App

Outro ponto que trago para o debate e o conceito de filter bubble e o vies da confirmacao.

The relationship between the industrial complex and the scientific communities: the challenge in filter bubble times/A relacao entre o complexo industrial e as comunidades cientificas: o desafio em tempos de filter bubble/La relacion entre el complejo industrial y las comunidades cientificas: el desafio en los tiempos de filter bubble

"But we can counter both the filter bubble and we can counter false narratives this way."

ALL THE NEWS THAT'S FIT FOR ME: News personalization could help publishers attract and retain audiences--in the process making political polarization even worse

The result would be to burst the social media filter bubble by rounding out our experience around news and current issues, introducing more variety into the information flow that feeds our intuition, judgment, decisions, and behavior.

Polarized: a yin-yang social media button could help stem the tide of polarization

The social-media giant is being criticized for the way its algorithms conspire to cocoon each user inside a "filter bubble," surrounding people with content that rarely challenges their worldview, including too many false news reports that often fail to get debunked.

It's time to burst my filter bubble

This phenomenon reduces information diversity and keeps individuals in their information bubble, which explains the term "Filter Bubble" (12).

The internet: a new economic paradigm for the advertising market

You've likely been told that Facebook paves the way for a "filter bubble," or an "echo chamber." (1) This argument suggests that since Facebook is trying to optimize for content you see, you'll never see opposing views.

Newsfeed: Facebook, filtering and news consumption