FILTER BUBBLE: Wie wir im Internet entmündigt werden

By Eli Pariser. 2012

Subfields: AI Ethics, Fairness & Society, Social Sciences & Humanities

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In AI Ethics, Fairness & Society

1. Luciano Floridi
2. Mariarosaria Taddeo
3. Emilio Ferrara

In Social Sciences & Humanities

1. Luciano Floridi
2. Mariarosaria Taddeo

Citations in the corpus

• The Debate on the Moral Responsibilities of Online Service Providers (2015, background): “In this respect, issues have been raised by several scholars (Sunstein 2001; Anderson 2008; Spink and Zimmer 2008; Pariser 2012).”
• ‘Hypernudge’: Big Data as a mode of regulation by design (2017, unknown): “As we increasingly retreat into our own algorithmically determined ‘filter bubbles’ (Pariser, 2012), our exposure to shared, diverse and unexpected experiences that are essential to sustain our capacity for individual flourishing and democratic engagement is correspondingly diminished.”
• Big data, bigger dilemmas: A critical review (2015, background): “Furthermore, these same patterns are fed back to individuals through mechanisms such as recommender systems, creating a vicious cycle of regeneration that puts people in “filter bubbles” (Pariser, 2012).”