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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:

Problematic Machine Behavior
Jack Bandy
Proceedings of the ACM on Human-Computer Interaction (2021) Vol. 5, Iss. CSCW1, pp. 1-34
Closed Access | Times Cited: 112

Showing 1-25 of 112 citing articles:

Who Audits the Auditors? Recommendations from a field scan of the algorithmic auditing ecosystem
Sasha Costanza-Chock, Inioluwa Deborah Raji, Joy Buolamwini
2022 ACM Conference on Fairness, Accountability, and Transparency (2022), pp. 1571-1583
Open Access | Times Cited: 96
Sociotechnical Harms of Algorithmic Systems: Scoping a Taxonomy for Harm Reduction
Renee Shelby, Shalaleh Rismani, Kathryn Henne, et al.
(2023), pp. 723-741
Open Access | Times Cited: 94
Auditing large language models: a three-layered approach
Jakob Mökander, Jonas Schuett, Hannah Rose Kirk, et al.
AI and Ethics (2023) Vol. 4, Iss. 4, pp. 1085-1115
Open Access | Times Cited: 85
A survey on bias in visual datasets
Simone Fabbrizzi, Symeon Papadopoulos, Eirini Ntoutsi, et al.
Computer Vision and Image Understanding (2022) Vol. 223, pp. 103552-103552
Open Access | Times Cited: 73
Auditing of AI: Legal, Ethical and Technical Approaches
Jakob Mökander
Deleted Journal (2023) Vol. 2, Iss. 3
Open Access | Times Cited: 44
AI auditing: The Broken Bus on the Road to AI Accountability
Abeba Birhane, Ryan Steed, Victor Ojewale, et al.
(2024), pp. 612-643
Open Access | Times Cited: 24
An Empirical Investigation of Personalization Factors on TikTok
Maximilian Boeker, Aleksandra Urman
Proceedings of the ACM Web Conference 2022 (2022), pp. 2298-2309
Open Access | Times Cited: 55
Supporting Human-AI Collaboration in Auditing LLMs with LLMs
Charvi Rastogi, Marco Túlio Ribeiro, Nicholas S. P. King, et al.
(2023), pp. 913-926
Open Access | Times Cited: 38
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: 38
Machine Learning Techniques for Sentiment Analysis of COVID-19-Related Twitter Data
Niklas Braig, Alina Benz, Soeren Voth, et al.
IEEE Access (2023) Vol. 11, pp. 14778-14803
Open Access | Times Cited: 33
Blinded by “algo economicus”: Reflecting on the assumptions of algorithmic management research to move forward
Laura Lamers, Jeroen Meijerink, Giorgio Rettagliata
Human Resource Management (2024) Vol. 63, Iss. 3, pp. 413-426
Open Access | Times Cited: 11
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
Engagement, user satisfaction, and the amplification of divisive content on social media
Smitha Milli, Micah Carroll, Yike Wang, et al.
PNAS Nexus (2025) Vol. 4, Iss. 3
Open Access | Times Cited: 1
Transparency and accountability in digital public services: Learning from the Brazilian cases
Douglas Morgan Fullin Saldanha, Cleidson Nogueira Dias, Siegrid Guillaumon
Government Information Quarterly (2022) Vol. 39, Iss. 2, pp. 101680-101680
Closed Access | Times Cited: 37
End-User Audits: A System Empowering Communities to Lead Large-Scale Investigations of Harmful Algorithmic Behavior
Michelle S. Lam, Mitchell Gordon, Danaë Metaxa, et al.
Proceedings of the ACM on Human-Computer Interaction (2022) Vol. 6, Iss. CSCW2, pp. 1-34
Closed Access | Times Cited: 36
Auditing YouTube’s Recommendation Algorithm for Misinformation Filter Bubbles
Ivan Srba, Róbert Móro, Matúš Tomlein, et al.
ACM Transactions on Recommender Systems (2022) Vol. 1, Iss. 1, pp. 1-33
Open Access | Times Cited: 31
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: 30
The importance of algorithm skills for informed Internet use
Jonathan Gruber, Eszter Hargittai
Big Data & Society (2023) Vol. 10, Iss. 1
Open Access | Times Cited: 21
Sociotechnical Audits: Broadening the Algorithm Auditing Lens to Investigate Targeted Advertising
Michelle S. Lam, Ayush Pandit, Colin H. Kalicki, et al.
Proceedings of the ACM on Human-Computer Interaction (2023) Vol. 7, Iss. CSCW2, pp. 1-37
Open Access | Times Cited: 20
Challenges of Moderating Social Virtual Reality
Nazanin Sabri, Bella Chen, Annabelle Teoh, et al.
(2023), pp. 1-20
Open Access | Times Cited: 18
How Do Users Experience Moderation?: A Systematic Literature Review
Renkai Ma, Yue You, Xinning Gui, et al.
Proceedings of the ACM on Human-Computer Interaction (2023) Vol. 7, Iss. CSCW2, pp. 1-30
Closed Access | Times Cited: 18
Assessing enactment of content regulation policies: A post hoc crowd-sourced audit of election misinformation on YouTube
Prerna Juneja, Md Momen Bhuiyan, Tanushree Mitra
(2023), pp. 1-22
Open Access | Times Cited: 17
Algorithmic Auditing and Social Justice: Lessons from the History of Audit Studies
Briana Vecchione, Karen Levy, Solon Barocas
(2021), pp. 1-9
Open Access | Times Cited: 35
Certification Labels for Trustworthy AI: Insights From an Empirical Mixed-Method Study
Nicolas Scharowski, Michaela Benk, Swen J. Kühne, et al.
2022 ACM Conference on Fairness, Accountability, and Transparency (2023), pp. 248-260
Open Access | Times Cited: 15
On monitorability of AI
Roman V. Yampolskiy
AI and Ethics (2024)
Open Access | Times Cited: 6
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