Original paper

Burst of the Filter Bubble?

Volume: 6, Issue: 3, Pages: 330 - 343
Published: Jul 6, 2017
Abstract
In offering personalized content geared toward users’ individual interests, recommender systems are assumed to reduce news diversity and thus lead to partial information blindness (i.e., filter bubbles). We conducted two exploratory studies to test the effect of both implicit and explicit personalization on the content and source diversity of Google News. Except for small effects of implicit personalization on content diversity, we found no...
Paper Details
Title
Burst of the Filter Bubble?
Published Date
Jul 6, 2017
Volume
6
Issue
3
Pages
330 - 343
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