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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:

Transparent to whom? No algorithmic accountability without a critical audience
Jakko Kemper, Daan Kolkman
Information Communication & Society (2018) Vol. 22, Iss. 14, pp. 2081-2096
Open Access | Times Cited: 219

Showing 1-25 of 219 citing articles:

From What to How: An Initial Review of Publicly Available AI Ethics Tools, Methods and Research to Translate Principles into Practices
Jessica Morley, Luciano Floridi, Libby Kinsey, et al.
Science and Engineering Ethics (2019) Vol. 26, Iss. 4, pp. 2141-2168
Open Access | Times Cited: 476
What is platform governance?
Robert Gorwa
Information Communication & Society (2019) Vol. 22, Iss. 6, pp. 854-871
Open Access | Times Cited: 451
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: 380
Towards Transparency by Design for Artificial Intelligence
Heike Felzmann, Eduard Fosch‐Villaronga, Christoph Lutz, et al.
Science and Engineering Ethics (2020) Vol. 26, Iss. 6, pp. 3333-3361
Open Access | Times Cited: 300
Who is afraid of black box algorithms? On the epistemological and ethical basis of trust in medical AI
Juan M. Durán, Karin Jongsma
Journal of Medical Ethics (2021), pp. medethics-106820
Open Access | Times Cited: 300
Transparency you can trust: Transparency requirements for artificial intelligence between legal norms and contextual concerns
Heike Felzmann, Eduard Fosch‐Villaronga, Christoph Lutz, et al.
Big Data & Society (2019) Vol. 6, Iss. 1
Open Access | Times Cited: 287
Transparency in artificial intelligence
Stefan Larsson, Fredrik Heintz
Internet Policy Review (2020) Vol. 9, Iss. 2
Open Access | Times Cited: 269
Interpretable Machine Learning
Brad Boehmke, Brandon Greenwell
Chapman and Hall/CRC eBooks (2019), pp. 305-342
Open Access | Times Cited: 256
User Perceptions of Algorithmic Decisions in the Personalized AI System:Perceptual Evaluation of Fairness, Accountability, Transparency, and Explainability
Dong‐Hee Shin
Journal of Broadcasting & Electronic Media (2020) Vol. 64, Iss. 4, pp. 541-565
Closed Access | Times Cited: 237
How Data Science Workers Work with Data
Michael Müller, Ingrid Lange, Dakuo Wang, et al.
(2019), pp. 1-15
Closed Access | Times Cited: 226
What to account for when accounting for algorithms
Maranke Wieringa
(2020), pp. 1-18
Open Access | Times Cited: 187
Algorithms as work designers: How algorithmic management influences the design of jobs
Xavier Parent‐Rocheleau, Sharon K. Parker
Human Resource Management Review (2021) Vol. 32, Iss. 3, pp. 100838-100838
Open Access | Times Cited: 183
How Computers See Gender
Morgan Klaus Scheuerman, Jacob M. Paul, Jed R. Brubaker
Proceedings of the ACM on Human-Computer Interaction (2019) Vol. 3, Iss. CSCW, pp. 1-33
Open Access | Times Cited: 182
Towards a deliberative framework for responsible innovation in artificial intelligence
Alexander Buhmann, Christian Fieseler
Technology in Society (2021) Vol. 64, pp. 101475-101475
Open Access | Times Cited: 135
Artificial intelligence based decision-making in accounting and auditing: ethical challenges and normative thinking
Othmar M. Lehner, Kim Ittonen, Hanna Silvola, et al.
Accounting Auditing & Accountability Journal (2022) Vol. 35, Iss. 9, pp. 109-135
Open Access | Times Cited: 114
A sociotechnical perspective for the future of AI: narratives, inequalities, and human control
Laura Sartori, Andreas Theodorou
Ethics and Information Technology (2022) Vol. 24, Iss. 1
Open Access | Times Cited: 110
Sustainable AI: An integrated model to guide public sector decision-making
Christopher Wilson, Maja van der Velden
Technology in Society (2022) Vol. 68, pp. 101926-101926
Open Access | Times Cited: 70
AI and Global Governance: Modalities, Rationales, Tensions
Michael Veale, Kira Matus, Robert Gorwa
Annual Review of Law and Social Science (2023) Vol. 19, Iss. 1, pp. 255-275
Open Access | Times Cited: 48
Managing stakeholder perceptions: Organized hypocrisy in CSR disclosures on Facebook
Chaoyuan She, Giovanna Michelon
Critical Perspectives on Accounting (2018) Vol. 61, pp. 54-76
Open Access | Times Cited: 143
Implications of AI (un-)fairness in higher education admissions
Frank Marcinkowski, Kimon Kieslich, Christopher Starke, et al.
(2020)
Closed Access | Times Cited: 117
The perception of humanness in conversational journalism: An algorithmic information-processing perspective
Dong‐Hee Shin
New Media & Society (2021) Vol. 24, Iss. 12, pp. 2680-2704
Closed Access | Times Cited: 94
“Shadowbanning is not a thing”: black box gaslighting and the power to independently know and credibly critique algorithms
Kelley Cotter
Information Communication & Society (2021) Vol. 26, Iss. 6, pp. 1226-1243
Open Access | Times Cited: 81
Towards platform observability
Bernhard Rieder, Jeanette Hofmann
Internet Policy Review (2020) Vol. 9, Iss. 4
Open Access | Times Cited: 77
Public engagement and AI: A values analysis of national strategies
Christopher Wilson
Government Information Quarterly (2021) Vol. 39, Iss. 1, pp. 101652-101652
Open Access | Times Cited: 72
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: 67
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