Print Email Facebook Twitter Politags: Breaking the filter bubble by using human computation techniques to enable diverse personalization Title Politags: Breaking the filter bubble by using human computation techniques to enable diverse personalization Author van Zoest, Max (TU Delft Electrical Engineering, Mathematics and Computer Science) Contributor Jonker, C.M. (mentor) Tintarev, N. (graduation committee) el Fassed, Arjan (graduation committee) Degree granting institution Delft University of Technology Date 2018-06-25 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. Subject Filter bubbleHuman ComputationPoliticsArtificial intelligenceDemocracyPersonalization To reference this document use: http://resolver.tudelft.nl/uuid:4df18ec6-181f-4d22-acaf-456542b6db1b Part of collection Student theses Document type master thesis Rights © 2018 Max van Zoest Files PDF thesismcj_final.pdf 2.96 MB Close viewer /islandora/object/uuid:4df18ec6-181f-4d22-acaf-456542b6db1b/datastream/OBJ/view