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.

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

Fingerprint

Field Experiment
Recommender Systems
Recommender systems
Application programs
Recommendations
Logic
Testing
Experiments
Framework
effect
recommendation
field experiment
exposure

Keywords

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

Cite this

Locherbach, F., & Trilling, D. (2018). 3bij3: A framework for testing effects of recommender systems on news exposure. In Proceedings - IEEE 14th International Conference on eScience, e-Science 2018 (pp. 350-351). [8588712] Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/eScience.2018.00093
Locherbach, Felicia ; Trilling, Damian. / 3bij3 : A framework for testing effects of recommender systems on news exposure. Proceedings - IEEE 14th International Conference on eScience, e-Science 2018. Institute of Electrical and Electronics Engineers Inc., 2018. pp. 350-351
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Locherbach, F & Trilling, D 2018, 3bij3: A framework for testing effects of recommender systems on news exposure. in Proceedings - IEEE 14th International Conference on eScience, e-Science 2018., 8588712, Institute of Electrical and Electronics Engineers Inc., pp. 350-351, 14th IEEE International Conference on eScience, e-Science 2018, Amsterdam, Netherlands, 29/10/18. https://doi.org/10.1109/eScience.2018.00093

3bij3 : A framework for testing effects of recommender systems on news exposure. / Locherbach, Felicia; Trilling, Damian.

Proceedings - IEEE 14th International Conference on eScience, e-Science 2018. Institute of Electrical and Electronics Engineers Inc., 2018. p. 350-351 8588712.

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

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Locherbach F, Trilling D. 3bij3: A framework for testing effects of recommender systems on news exposure. In Proceedings - IEEE 14th International Conference on eScience, e-Science 2018. Institute of Electrical and Electronics Engineers Inc. 2018. p. 350-351. 8588712 https://doi.org/10.1109/eScience.2018.00093