3bij3: A framework for testing effects of recommender systems on news exposure

Felicia Locherbach, Damian Trilling

Research output: Chapter in Book / Report / Conference proceedingConference contributionAcademicpeer-review

Abstract

We developed 3bij3, a framework that presents a news app to participants, with contents that are displayed based on different recommendation logics. It tracks usage over time and enables large-scale field experiments.

Original languageEnglish
Title of host publicationProceedings - IEEE 14th International Conference on eScience, e-Science 2018
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages350-351
Number of pages2
ISBN (Electronic)9781538691564
DOIs
Publication statusPublished - 24 Dec 2018
Event14th IEEE International Conference on eScience, e-Science 2018 - Amsterdam, Netherlands
Duration: 29 Oct 20181 Nov 2018

Conference

Conference14th IEEE International Conference on eScience, e-Science 2018
CountryNetherlands
CityAmsterdam
Period29/10/181/11/18

Keywords

  • Communication science
  • News exposure
  • Recommender systems
  • Web application

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