The "filter bubble" or "information bubble" effect, as discussed by Pariser (2011) and Kitchens et al. (2020), refers to the tendency of algorithms to present users with data and opinions that confirm their existing beliefs and attitudes because that content generates higher user engagement.

Authors

• Person: Not available Organization: Stanford Encyclopedia of Philosophy
  Social Epistemology - Stanford Encyclopedia of Philosophy

Sources

• Social Epistemology - Stanford Encyclopedia of Philosophy plato.stanford.edu Stanford Encyclopedia of Philosophy via serper

Referenced by nodes (1)

• algorithms concept