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

Open Access
Authors
Publication date 2018
Book title IEEE 14th International Conference on eScience
Book subtitle proceedings : 29 October-1 November 2018, Amsterdam, the Netherlands
ISBN
  • 9781538691571
ISBN (electronic)
  • 9781538691564
Event 14th eScience international IEEE conference
Pages (from-to) 350-351
Publisher Los Alamitos, California: IEEE Computer Society
Organisations
  • Faculty of Social and Behavioural Sciences (FMG) - Amsterdam School of Communication Research (ASCoR)
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.
Document type Conference contribution
Language English
Related publication 3bij3 – Developing a framework for researching recommender systems and their effects
Published at https://doi.org/10.1109/eScience.2018.00093
Downloads
08588712 (Final published version)
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