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:

Exposure diversity as a design principle for recommender systems
Natali Helberger, Kari Karppinen, Lucia D’Acunto
Information Communication & Society (2016) Vol. 21, Iss. 2, pp. 191-207
Open Access | Times Cited: 281

Showing 1-25 of 281 citing articles:

Role of fairness, accountability, and transparency in algorithmic affordance
Dong‐Hee Shin, Yong Jin Park
Computers in Human Behavior (2019) Vol. 98, pp. 277-284
Closed Access | Times Cited: 358

Do not blame it on the algorithm: an empirical assessment of multiple recommender systems and their impact on content diversity
Judith Möller, Damian Trilling, Natali Helberger, et al.
Information Communication & Society (2018) Vol. 21, Iss. 7, pp. 959-977
Open Access | Times Cited: 339

Recommender systems and their ethical challenges
Silvia Milano, Mariarosaria Taddeo, Luciano Floridi
AI & Society (2020) Vol. 35, Iss. 4, pp. 957-967
Open Access | Times Cited: 295

On the Democratic Role of News Recommenders
Natali Helberger
Digital Journalism (2019) Vol. 7, Iss. 8, pp. 993-1012
Open Access | Times Cited: 284

Governing online platforms: From contested to cooperative responsibility
Natali Helberger, Jos Pierson, Thomas Poell
The Information Society (2017) Vol. 34, Iss. 1, pp. 1-14
Open Access | Times Cited: 252

What kind of news gatekeepers do we want machines to be? Filter bubbles, fragmentation, and the normative dimensions of algorithmic recommendations
Efrat Nechushtai, Seth C. Lewis
Computers in Human Behavior (2018) Vol. 90, pp. 298-307
Closed Access | Times Cited: 188

Measuring the impact of online personalisation: Past, present and future
Markus Zanker, Laurens Rook, Dietmar Jannach
International Journal of Human-Computer Studies (2019) Vol. 131, pp. 160-168
Open Access | Times Cited: 145

Beyond user experience: What constitutes algorithmic experiences?
Dong‐Hee Shin, Bu Zhong, Frank Biocca
International Journal of Information Management (2020) Vol. 52, pp. 102061-102061
Closed Access | Times Cited: 136

Artificial intelligence and mass personalization of communication content—An ethical and literacy perspective
Erik Hermann
New Media & Society (2021) Vol. 24, Iss. 5, pp. 1258-1277
Closed Access | Times Cited: 110

Latest trends of security and privacy in recommender systems: A comprehensive review and future perspectives
Yassine Himeur, Shahab Saquib Sohail, Fayçal Bensaali, et al.
Computers & Security (2022) Vol. 118, pp. 102746-102746
Closed Access | Times Cited: 79

News Diversity Under Algorithms: The Effects of Pre-Selected and Self-Selected Personalization on Chinese TikTok (Douyin)
Wen Shi, Jinhui Li
Digital Journalism (2025), pp. 1-19
Closed Access | Times Cited: 1

Understanding Echo Chambers in E-commerce Recommender Systems
Yingqiang Ge, Shuya Zhao, Honglu Zhou, et al.
(2020), pp. 2261-2270
Open Access | Times Cited: 115

How do users interact with algorithm recommender systems? The interaction of users, algorithms, and performance
Dong‐Hee Shin
Computers in Human Behavior (2020) Vol. 109, pp. 106344-106344
Closed Access | Times Cited: 112

A survey of research hotspots and frontier trends of recommendation systems from the perspective of knowledge graph
Bilin Shao, Xiaojun Li, Genqing Bian
Expert Systems with Applications (2020) Vol. 165, pp. 113764-113764
Open Access | Times Cited: 104

The Unified Framework of Media Diversity: A Systematic Literature Review
Felicia Löecherbach, Judith Moeller, Damian Trilling, et al.
Digital Journalism (2020) Vol. 8, Iss. 5, pp. 605-642
Open Access | Times Cited: 94

Automated Serendipity
Richard Fletcher, Rasmus Kleis Nielsen
Digital Journalism (2018) Vol. 6, Iss. 8, pp. 976-989
Open Access | Times Cited: 88

Counter-messages as Prevention or Promotion of Extremism?! The Potential Role of YouTube
Josephine B. Schmitt, Diana Rieger, Olivia Rutkowski, et al.
Journal of Communication (2018) Vol. 68, Iss. 4, pp. 780-808
Closed Access | Times Cited: 86

Embodying algorithms, enactive artificial intelligence and the extended cognition: You can see as much as you know about algorithm
Dong‐Hee Shin
Journal of Information Science (2021) Vol. 49, Iss. 1, pp. 18-31
Closed Access | Times Cited: 84

Search as News Curator
Daniel Trielli, Nicholas Diakopoulos
(2019)
Open Access | Times Cited: 81

Platform Imaginaries and Dutch Public Service Media
Karin van Es, Thomas Poell
Social Media + Society (2020) Vol. 6, Iss. 2
Open Access | Times Cited: 70

Understanding user sensemaking in fairness and transparency in algorithms: algorithmic sensemaking in over-the-top platform
Dong‐Hee Shin, Joon Soo Lim, Norita Ahmad, et al.
AI & Society (2022) Vol. 39, Iss. 2, pp. 477-490
Closed Access | Times Cited: 64

Novelty and Diversity in Recommender Systems
Pablo Castells, Neil Hurley, Saúl Vargas
Springer eBooks (2021), pp. 603-646
Closed Access | Times Cited: 58

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

Benefits of Diverse News Recommendations for Democracy: A User Study
Lucien Heitz, Juliane A. Lischka, Alena Birrer, et al.
Digital Journalism (2022) Vol. 10, Iss. 10, pp. 1710-1730
Open Access | Times Cited: 53

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