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"Personalization filters serve up a kind of invisible autopropaganda, indoctrinating us with our own ideas ... and leaving less room for the chance encounters that bring insight and learning."
Source
Pariser — The Filter Bubble
Pariser, The Filter Bubble (2011)
Author
Eli Pariser
Date
2011
Credibility & evidentiary value

Early, accessible analysis of algorithmic personalization. The strength of 'filter bubble' effects is debated empirically; the core mechanism is well documented.

Citation · Chicago

Eli Pariser, The Filter Bubble: What the Internet Is Hiding from You (New York: Penguin Press, 2011).

Used in topics
Scholarly SynthesisHow the Recommendation Feed Shapes YouSpeculative HypothesisUsing AI as a Tool, Not an Authority
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