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

Felicia Locherbach; Damian Trilling

doi:10.1109/eScience.2018.00093

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

Felicia Locherbach, Damian Trilling

Research output: Chapter in Book / Report / Conference proceeding › Conference contribution › Academic › peer-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 language	English
Title of host publication	Proceedings - IEEE 14th International Conference on eScience, e-Science 2018
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	350-351
Number of pages	2
ISBN (Electronic)	9781538691564
DOIs	https://doi.org/10.1109/eScience.2018.00093
Publication status	Published - 24 Dec 2018
Event	14th IEEE International Conference on eScience, e-Science 2018 - Amsterdam, Netherlands Duration: 29 Oct 2018 → 1 Nov 2018

Conference

Conference	14th IEEE International Conference on eScience, e-Science 2018
Country/Territory	Netherlands
City	Amsterdam
Period	29/10/18 → 1/11/18

Keywords

Communication science
News exposure
Recommender systems
Web application

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

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10.1109/eScience.2018.00093

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title = "3bij3: A framework for testing effects of recommender systems on news exposure",

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.",

keywords = "Communication science, News exposure, Recommender systems, Web application",

author = "Felicia Locherbach and Damian Trilling",

year = "2018",

month = dec,

day = "24",

doi = "10.1109/eScience.2018.00093",

language = "English",

pages = "350--351",

booktitle = "Proceedings - IEEE 14th International Conference on eScience, e-Science 2018",

publisher = "Institute of Electrical and Electronics Engineers Inc.",

address = "United States",

note = "14th IEEE International Conference on eScience, e-Science 2018 ; Conference date: 29-10-2018 Through 01-11-2018",

}

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 proceeding › Conference contribution › Academic › peer-review

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T1 - 3bij3

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AU - Locherbach, Felicia

AU - Trilling, Damian

PY - 2018/12/24

Y1 - 2018/12/24

N2 - 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.

AB - 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.

KW - Communication science

KW - News exposure

KW - Recommender systems

KW - Web application

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M3 - Conference contribution

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BT - Proceedings - IEEE 14th International Conference on eScience, e-Science 2018

PB - Institute of Electrical and Electronics Engineers Inc.

Y2 - 29 October 2018 through 1 November 2018

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

Abstract

Conference

Keywords

UN SDGs

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