I Hate to Burst Your Bubble: A Case Against Filter Bubbles in Google Search

Abstract

In this thesis, I examine the epistemic, political, and personal implications of personalization in the context of Google search. Specifically, I consider the potential for personalized search results to undermine truth, democracy, and autonomy through the proliferation of online filter bubbles. To address these concerns, I propose two courses of action that Google can take to become a more responsible purveyor of online information: (1) increase transparency around their collection and application of personal data and provide an easily accessible opt-out option or, preferably, (2) transition from their personalized model to a more objective approach.