OpenAlex Citation Counts

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OpenAlex is a bibliographic catalogue of scientific papers, authors and institutions accessible in open access mode, named after the Library of Alexandria. It's citation coverage is excellent and I hope you will find utility in this listing of citing articles!

If you click the article title, you'll navigate to the article, as listed in CrossRef. If you click the Open Access links, you'll navigate to the "best Open Access location". Clicking the citation count will open this listing for that article. Lastly at the bottom of the page, you'll find basic pagination options.

Requested Article:

Recommenders with a Mission
Sanne Vrijenhoek, Mesut Kaya, Nadia Metoui, et al.
(2021), pp. 173-183
Open Access | Times Cited: 55

Showing 1-25 of 55 citing articles:

Avenues to News and Diverse News Exposure Online: Comparing Direct Navigation, Social Media, News Aggregators, Search Queries, and Article Hyperlinks
Magdalena Wojcieszak, Ericka Menchen-Trevino, João Gonçalves, et al.
The International Journal of Press/Politics (2021) Vol. 27, Iss. 4, pp. 860-886
Closed Access | Times Cited: 55

Building Human Values into Recommender Systems: An Interdisciplinary Synthesis
Jonathan Stray, Alon Halevy, Parisa Assar, et al.
ACM Transactions on Recommender Systems (2023) Vol. 2, Iss. 3, pp. 1-57
Open Access | Times Cited: 30

Filter bubbles in recommender systems: Fact or fallacy—A systematic review
Qazi Mohammad Areeb, Mohammad Nadeem, Shahab Saquib Sohail, et al.
Wiley Interdisciplinary Reviews Data Mining and Knowledge Discovery (2023) Vol. 13, Iss. 6
Open Access | Times Cited: 26

News recommender systems: a programmatic research review
Eliza Mitova, Sina Blassnig, Edina Strikovic, et al.
Annals of the International Communication Association (2022) Vol. 47, Iss. 1, pp. 84-113
Closed Access | Times Cited: 29

Understanding the Contribution of Recommendation Algorithms on Misinformation Recommendation and Misinformation Dissemination on Social Networks
R. S. Pathak, Francesca Spezzano, Maria Soledad Pera
ACM Transactions on the Web (2023) Vol. 17, Iss. 4, pp. 1-26
Open Access | Times Cited: 17

AI Ethics in Journalism (Studies): An Evolving Field Between Research and Practice
Colin Porlezza, Aljosha Karim Schapals
Emerging Media (2024) Vol. 2, Iss. 3, pp. 356-370
Open Access | Times Cited: 5

What Are Filter Bubbles Really? A Review of the Conceptual and Empirical Work
Lien Michiels, Jens Leysen, Annelien Smets, et al.
(2022)
Closed Access | Times Cited: 25

Towards a Normative Perspective on Journalistic AI: Embracing the Messy Reality of Normative Ideals
Natali Helberger, Max van Drunen, Judith Moeller, et al.
Digital Journalism (2022) Vol. 10, Iss. 10, pp. 1605-1626
Open Access | Times Cited: 25

RADio – Rank-Aware Divergence Metrics to Measure Normative Diversity in News Recommendations
Sanne Vrijenhoek, G. F. Benedict, Mateo Gutierrez Granada, et al.
(2022), pp. 208-219
Open Access | Times Cited: 24

Nudging towards news diversity: A theoretical framework for facilitating diverse news consumption through recommender design
Nicolas Mattis, Philipp K. Masur, Judith Möller, et al.
New Media & Society (2022) Vol. 26, Iss. 7, pp. 3681-3706
Open Access | Times Cited: 22

Viewpoint Diversity in Search Results
Tim Draws, Nirmal Roy, Oana Inel, et al.
Lecture notes in computer science (2023), pp. 279-297
Open Access | Times Cited: 14

A Right to Constructive Optimization: A Public Interest Approach to Recommender Systems in the Digital Services Act
Laurens Naudts, Natali Helberger, Michael Veale, et al.
Journal of Consumer Policy (2025)
Open Access

We’re in This Together: A Multi-Stakeholder Approach for News Recommenders
Annelien Smets, Jonathan Hendrickx, Pieter Ballon
Digital Journalism (2022) Vol. 10, Iss. 10, pp. 1813-1831
Open Access | Times Cited: 20

Designing Algorithmic Editors: How Newspapers Embed and Encode Journalistic Values into News Recommender Systems
Lynge Asbjørn Møller
Digital Journalism (2023) Vol. 12, Iss. 7, pp. 926-944
Closed Access | Times Cited: 11

What’s “Up Next”? Investigating Algorithmic Recommendations on YouTube Across Issues and Over Time
Ariadna Matamoros-Fernández, Joanne Gray, Louisa Bartolo, et al.
Media and Communication (2021) Vol. 9, Iss. 4, pp. 234-249
Open Access | Times Cited: 23

The Treatment of Ties in Rank-Biased Overlap
Matteo Corsi, Julián Urbano
Proceedings of the 45th International ACM SIGIR Conference on Research and Development in Information Retrieval (2024), pp. 251-260
Open Access | Times Cited: 3

Algorithmic News Diversity and Democratic Theory: Adding Agonism to the Mix
Marijn Sax
Digital Journalism (2022) Vol. 10, Iss. 10, pp. 1650-1670
Open Access | Times Cited: 13

From Explanation to Recommendation: Ethical Standards for Algorithmic Recourse
Emily Sullivan, Philippe Verreault-Julien
(2022), pp. 712-722
Open Access | Times Cited: 12

Safeguarding Editorial Independence in an Automated Media System: The Relationship Between Law and Journalistic Perspectives
Max van Drunen, Denise J. Fechner
Digital Journalism (2022) Vol. 11, Iss. 9, pp. 1723-1750
Open Access | Times Cited: 12

How Should We Measure Filter Bubbles? A Regression Model and Evidence for Online News
Lien Michiels, Jorre Vannieuwenhuyze, Jens Leysen, et al.
(2023), pp. 640-651
Closed Access | Times Cited: 7

Communication Research into the Digital Society

Amsterdam University Press eBooks (2024)
Open Access | Times Cited: 2

Capítulo 7. Inteligencia artificial para la relación con las audiencias: el sistema de recomendación Sophi
Sonia Parratt Fernández, Alfred Hermida
Espejo de Monografías de Comunicación Social (2024), Iss. 25, pp. 165-185
Open Access | Times Cited: 2

Recommendations for the Recommenders: Reflections on Prioritizing Diversity in the RecSys Challenge
Lucien Heitz, Sanne Vrijenhoek, Oana Inel
(2024), pp. 22-26
Closed Access | Times Cited: 2

Beyond Digital "Echo Chambers": The Role of Viewpoint Diversity in Political Discussion
Rishav Hada, Amir Ebrahimi Fard, Sarah Shugars, et al.
(2023), pp. 33-41
Open Access | Times Cited: 5

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