Print Email Facebook Twitter Politags: Breaking the filter bubble by using information extraction techniques to enable diverse personalization Title Politags: Breaking the filter bubble by using information extraction techniques to enable diverse personalization Author Rothweiler, Joost (TU Delft Electrical Engineering, Mathematics and Computer Science) Contributor Jonker, Catholijn (mentor) Tintarev, Nava (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 information extractionfilter bubblepersonalizationdemocracynernedtopic classificationnamed entitiescontinuous improvement To reference this document use: http://resolver.tudelft.nl/uuid:861d1dff-578a-4ba8-89fa-86494dab9465 Part of collection Student theses Document type master thesis Rights © 2018 Joost Rothweiler Files PDF master_thesis_35_.pdf 2.09 MB Close viewer /islandora/object/uuid:861d1dff-578a-4ba8-89fa-86494dab9465/datastream/OBJ/view