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.

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Showing 1-25 of 52 citing articles:

Algorithm-mediated social learning in online social networks
William J. Brady, Joshua Conrad Jackson, Björn Lindström, et al.
Trends in Cognitive Sciences (2023) Vol. 27, Iss. 10, pp. 947-960
Open Access | Times Cited: 38

Inoculating against the spread of Islamophobic and radical-Islamist disinformation
Stephan Lewandowsky, Muhsin Yesilada
Cognitive Research Principles and Implications (2021) Vol. 6, Iss. 1
Open Access | Times Cited: 52

Deplatforming the Far-right: An Analysis of YouTube and BitChute
Adrian Rauchfleisch, Jonas Kaiser
SSRN Electronic Journal (2021)
Closed Access | Times Cited: 37

Examining the interactive effects of the filter bubble and the echo chamber on radicalization
Michael Wolfowicz, David Weisburd, Badi Hasisi
Journal of Experimental Criminology (2021) Vol. 19, Iss. 1, pp. 119-141
Closed Access | Times Cited: 28

Towards a multi-stakeholder value-based assessment framework for algorithmic systems
Mireia Yurrita, Dave Murray-Rust, Agathe Balayn, et al.
2022 ACM Conference on Fairness, Accountability, and Transparency (2022), pp. 535-563
Open Access | Times Cited: 20

Effects of the news finds me perception on algorithmic news attitudes and social media political homophily
Homero Gil de Zúñiga, Zicheng Cheng, Pablo González-González
Journal of Communication (2022) Vol. 72, Iss. 5, pp. 578-591
Closed Access | Times Cited: 20

Algorithm-Mediated Social Learning in Online Social Networks
William J. Brady, Joshua Conrad Jackson, Björn Lindström, et al.
(2023)
Open Access | Times Cited: 12

The impact of deplatforming the far right: an analysis of YouTube and BitChute
Adrian Rauchfleisch, Jonas Kaiser
Information Communication & Society (2024) Vol. 27, Iss. 7, pp. 1478-1496
Closed Access | Times Cited: 4

The chat-chamber effect: Trusting the AI hallucination
Christo Jacob, Páraic Kerrigan, Marco Bastos
Big Data & Society (2025) Vol. 12, Iss. 1
Open Access

A systematic review of echo chamber research: comparative analysis of conceptualizations, operationalizations, and varying outcomes
David Hartmann, Sonja Mei Wang, Lena Pohlmann, et al.
Journal of Computational Social Science (2025) Vol. 8, Iss. 2
Open Access

The Far-Right Smokescreen: Environmental Conspiracy and Culture Wars on Brazilian YouTube
Débora Salles, Priscila Muniz de Medeiros, Rose Marie Santini, et al.
Social Media + Society (2023) Vol. 9, Iss. 3
Open Access | Times Cited: 10

Filter Bubble or Homogenization? Disentangling the Long-Term Effects of Recommendations on User Consumption Patterns
Md Sanzeed Anwar, Grant Schoenebeck, Paramveer S. Dhillon
Proceedings of the ACM Web Conference 2022 (2024), pp. 123-134
Open Access | Times Cited: 3

Selling Books with Algorithms
Anna Muenchrath
(2024)
Closed Access | Times Cited: 3

Technology and democracy: a paradox wrapped in a contradiction inside an irony
Stephan Lewandowsky, Peter Pomerantsev
Memory Mind & Media (2021) Vol. 1
Open Access | Times Cited: 23

Men not going their own way: a thick big data analysis of #MGTOW and #Feminism tweets
Anna M. Górska, Karolina Kulicka, Dariusz Jemielniak
Feminist Media Studies (2022) Vol. 23, Iss. 8, pp. 3774-3792
Closed Access | Times Cited: 15

Challenges in Understanding Human-Algorithm Entanglement During Online Information Consumption
Stephan Lewandowsky, Ronald E. Robertson, Renée DiResta
Perspectives on Psychological Science (2023) Vol. 19, Iss. 5, pp. 758-766
Open Access | Times Cited: 8

Emerging trends: Unfair, biased, addictive, dangerous, deadly, and insanely profitable
Kenneth Church, Annika Marie Schoene, John E. Ortega, et al.
Natural Language Engineering (2022) Vol. 29, Iss. 2, pp. 483-508
Open Access | Times Cited: 10

Algorithmic amplification and polarization in social media
Dong‐Hee Shin, Emily Y. Shin
Telematics and Informatics (2024), pp. 102049-102049
Closed Access | Times Cited: 1

Investigating the Coverage of China’s Vaccine Crisis on YouTube: Networked Framing, Grassroots Activism, and Homophily
Yuanhang Lu, Yunya Song, K. Hazel Kwon, et al.
Journal of Broadcasting & Electronic Media (2024) Vol. 68, Iss. 2, pp. 176-197
Closed Access | Times Cited: 1

What means civic education in a digitalized world?
Josephine B. Schmitt, Jasmin Baake, Sandra Kero
Frontiers in Psychology (2024) Vol. 15
Open Access | Times Cited: 1

Accounting for Personalization in Personalization Algorithms: YouTube’s Treatment of Conspiracy Content
Roan Schellingerhout, Davide Beraldo, M. Marx
Digital Journalism (2023), pp. 1-29
Open Access | Times Cited: 3

Conspiracy, anxiety, ontology: Theorising QAnon
James Fitzgerald
First Monday (2022)
Open Access | Times Cited: 4

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