Politags: Breaking the filter bubble by using human computation techniques to enable diverse personalization

Master thesis (2018)

Authors

M.C.J. van Zoest Electrical Engineering, Mathematics and Computer Science

Contributors

C.M. Jonker (mentor)
N. Tintarev (graduation committee member)
Arjan el Fassed (graduation committee member)
Faculty
Electrical Engineering, Mathematics and Computer Science, Electrical Engineering, Mathematics and Computer Science
Copyright: © 2018 Max van Zoest
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Published Date

25-06-2018

Language

English

Reuse Rights

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Faculty

Electrical Engineering, Mathematics and Computer Science

Abstract

This research is aimed at breaking online political filter bubbles. We present a system that uses artificial intelligence and human computation to automatically collect article metadata on political content and thereby enables diverse personalization on content-serving platforms. This way, exploring alternative viewpoints could become as simple as checking your feed.

Files

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