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How Should We Measure Filter Bubbles? A Regression Model and Evidence for Online News

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dc.contributor.authorMichiels, Lien
dc.contributor.authorVannieuwenhuyze, Jorre
dc.contributor.authorVerachtert, Robin
dc.contributor.authorSmets, Annelien
dc.contributor.authorLeysen, Jens
dc.contributor.authorGoethals, Bart
dc.contributor.imecauthorVannieuwenhuyze, Jorre
dc.contributor.imecauthorSmets, Annelien
dc.contributor.orcidimecVannieuwenhuyze, Jorre::0000-0002-9820-7653
dc.contributor.orcidimecSmets, Annelien::0000-0003-4771-7159
dc.date.accessioned2025-01-29T15:17:28Z
dc.date.available2024-03-14T18:00:44Z
dc.date.available2024-06-06T08:25:40Z
dc.date.available2025-01-29T15:17:28Z
dc.date.issued2023
dc.description.wosFundingTextThis research was partially supported by the Research Foundation Flanders (FWO) under grant number S006323N and also received funding from the Flemish Government (AI Research Program).
dc.identifier.doi10.1145/3604915.3608805
dc.identifier.eisbn979-8-4007-0241-9
dc.identifier.issnN/A
dc.identifier.urihttps://imec-publications.be/handle/20.500.12860/43677
dc.publisherASSOC COMPUTING MACHINERY
dc.source.beginpage640
dc.source.conference17th ACM Conference on Recommender Systems (RecSys)
dc.source.conferencedateSEP 18-22, 2023
dc.source.conferencelocationSingapore
dc.source.endpage651
dc.source.journalN/A
dc.source.numberofpages12
dc.subject.keywordsRECOMMENDER SYSTEMS
dc.subject.keywordsDIVERSITY
dc.subject.keywordsEXPOSURE
dc.title

How Should We Measure Filter Bubbles? A Regression Model and Evidence for Online News

dc.typeProceedings paper
dspace.entity.typePublication
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