Media / Publication
December 28, 2025

Filter bubbels

This entry explores the concept of filter bubbles, a digital phenomenon where algorithmic content curation leads to a personalized information experience for the user.

Originating from Pariser in 2011, the filter bubble theory posits that personalization on digital platforms, particularly through recommender systems powered by machine learning, might limit individuals’ exposure to diverse content and viewpoints. This, in turn, could have significant repercussions, including polarization, radicalization, and the fragmentation of the public sphere. Notwithstanding its extensive discussion in media and political dialogues, empirical evidence questioning the existence and impact of filter bubbles suggests a more complicated picture. The entry draws distinctions between filter bubbles and related concepts like echo chambers, examines the implications on democratic discourse, and reviews methodologies employed in studying this phenomenon, alongside a critical evaluation of its debated effects on societal cohesion and information diversity.

To continue reading please visit:
https://doi.org/10.4337/9781035301447

This book chapter was published in Elgar Encyclopedia of Political Communication.

Miotto, M., Wan, J., & Votta, F. A. (2025). Filter bubbles. In A. Nai, M. Grömping, & D. Wirz (Eds.), Elgar Encyclopedia of Political Communication (pp. 33–37). Edward Elgar Publishing. https://doi.org/10.4337/9781035301447.vol2.00012

Keywords: Filter Bubble; Selective Exposure; Echo Chambers; Recommender Systems; Information Diversity; Personalization