RADio – Rank-Aware Divergence Metrics to Measure Normative Diversity in News Recommendations-Reference-Cited by-同舟云学术

RADio – Rank-Aware Divergence Metrics to Measure Normative Diversity in News Recommendations

Published:2022-09-18 Issue: Volume: Page:
ISSN:
Container-title:Sixteenth ACM Conference on Recommender Systems
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Author:

Vrijenhoek Sanne¹,Bénédict Gabriel²,Gutierrez Granada Mateo³,Odijk Daan³,De Rijke Maarten⁴

Affiliation:

1. Institute for Information Law, University of Amsterdam, Netherlands

2. IRLab, University of Amsterdam, Netherlands and RTL Nederland B.V., Netherlands

3. RTL Nederland B.V., Netherlands

4. University of Amsterdam, Netherlands

Publisher

ACM

Reference85 articles.

1. Neural News Recommendation with Long- and Short-term User Representations

2. Algorithmic Effects on the Diversity of Consumption on Spotify

3. Conceptualizing viewpoint diversity in news discourse

4. Safeguarding the Journalistic DNA: Attitudes towards the Role of Professional Values in Algorithmic News Recommender Designs;Bastian Mariella;Digital Journalism,2021

5. Automating the News

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