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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:

Scaling Up Fact-Checking Using the Wisdom of Crowds
Jennifer Allen, Antonio A. Arechar, Gordon Pennycook, et al.
(2020)
Open Access | Times Cited: 56

Showing 1-25 of 56 citing articles:

Shifting attention to accuracy can reduce misinformation online
Gordon Pennycook, Ziv Epstein, Mohsen Mosleh, et al.
Nature (2021) Vol. 592, Iss. 7855, pp. 590-595
Open Access | Times Cited: 720
Deepfake detection by human crowds, machines, and machine-informed crowds
Matthew Groh, Ziv Epstein, Chaz Firestone, et al.
Proceedings of the National Academy of Sciences (2021) Vol. 119, Iss. 1
Open Access | Times Cited: 137
Jury Learning: Integrating Dissenting Voices into Machine Learning Models
Mitchell Gordon, Michelle S. Lam, Joon Sung Park, et al.
CHI Conference on Human Factors in Computing Systems (2022), pp. 1-19
Open Access | Times Cited: 85
Shifting attention to accuracy can reduce misinformation online
Gordon Pennycook, Ziv Epstein, Mohsen Mosleh, et al.
(2019)
Open Access | Times Cited: 125
Tackling misinformation: What researchers could do with social media data
Irene V. Pasquetto, Briony Spire-Thompson, Michelle A. Amazeen, et al.
(2020)
Open Access | Times Cited: 73
Nudging Social Media toward Accuracy
Gordon Pennycook, David G. Rand
The Annals of the American Academy of Political and Social Science (2022) Vol. 700, Iss. 1, pp. 152-164
Open Access | Times Cited: 60
Studying fake news spreading, polarisation dynamics, and manipulation by bots: A tale of networks and language
Giancarlo Ruffo, Alfonso Semeraro, Anastasia Giachanou, et al.
Computer Science Review (2022) Vol. 47, pp. 100531-100531
Open Access | Times Cited: 52
Community-Based Fact-Checking on Twitter’s Birdwatch Platform
Nicolas Pröllochs
Proceedings of the International AAAI Conference on Web and Social Media (2022) Vol. 16, pp. 794-805
Open Access | Times Cited: 44
The state of human-centered NLP technology for fact-checking
Anubrata Das, Houjiang Liu, Venelin Kovatchev, et al.
Information Processing & Management (2022) Vol. 60, Iss. 2, pp. 103219-103219
Open Access | Times Cited: 38
Leveraging ChatGPT for Efficient Fact-Checking
Emma Hoes, Sacha Altay, J. P. Bermeo
(2023)
Open Access | Times Cited: 24
Community Notes vs. Snoping: How the Crowd Selects Fact-Checking Targets on Social Media
Moritz Pilarski, Kirill Solovev, Nicolas Pröllochs
Proceedings of the International AAAI Conference on Web and Social Media (2024) Vol. 18, pp. 1262-1275
Open Access | Times Cited: 8
“If This account is True, It is Most Enormously Wonderful”: Interestingness-If-True and the Sharing of True and False News
Sacha Altay, Emma de Araujo, Hugo Mercier
Digital Journalism (2021) Vol. 10, Iss. 3, pp. 373-394
Open Access | Times Cited: 51
COVID-19 disinformation and political engagement among communities of color: The role of media literacy
Erica Weintraub Austin, Porismita Borah, Shawn Domgaard
(2021)
Open Access | Times Cited: 41
How Effective Are Interventions Against Misinformation?
Sacha Altay
(2022)
Open Access | Times Cited: 30
Displaying News Source Trustworthiness Ratings Reduces Sharing Intentions for False News Posts
Tatiana Celadin, Valerio Capraro, Gordon Pennycook, et al.
Journal of Online Trust and Safety (2023) Vol. 1, Iss. 5
Open Access | Times Cited: 16
Do Explanations Increase the Effectiveness of AI-Crowd Generated Fake News Warnings?
Ziv Epstein, N. Foppiani, Sophie Hilgard, et al.
Proceedings of the International AAAI Conference on Web and Social Media (2022) Vol. 16, pp. 183-193
Open Access | Times Cited: 27
Understanding and Combating Misinformation Across 16 Countries on Six Continents
Antonio A. Arechar, Jennifer Allen, Adam J. Berinsky, et al.
(2022)
Open Access | Times Cited: 25
Why Us and not Them? A Theory of Political Fact-Checking
Giovanni Andreottola, Charles Louis-Sidois
(2025)
Closed Access
Quantifying the Impact of Misinformation and Vaccine-Skeptical Content on Facebook
Jennifer Allen, Duncan J. Watts, David G. Rand
(2023)
Open Access | Times Cited: 11
“If this account is true, it is most enormously wonderful”: Interestingness-if-true and the sharing of true and false news
Sacha Altay, Emma de Araujo, Hugo Mercier
(2020)
Open Access | Times Cited: 27
Justice in Misinformation Detection Systems: An Analysis of Algorithms, Stakeholders, and Potential Harms
Terrence Neumann, Maria De‐Arteaga, Sina Fazelpour
2022 ACM Conference on Fairness, Accountability, and Transparency (2022), pp. 1504-1515
Open Access | Times Cited: 16
Believability and Harmfulness Shape the Virality of Misleading Social Media Posts
Chiara Patricia Drolsbach, Nicolas Pröllochs
Proceedings of the ACM Web Conference 2022 (2023), pp. 4172-4177
Open Access | Times Cited: 9
Spotting False News and Doubting True News: A Meta-Analysis of News Judgments
Jan Pfänder, Sacha Altay
(2023)
Open Access | Times Cited: 7
Untangling the web of misinformation and false beliefs
Gita Venkataramani Johar
Journal of Consumer Psychology (2022) Vol. 32, Iss. 2, pp. 374-383
Closed Access | Times Cited: 11
Exploring Lightweight Interventions at Posting Time to Reduce the Sharing of Misinformation on Social Media
Farnaz Jahanbakhsh, Amy X. Zhang, Adam J. Berinsky, et al.
Proceedings of the ACM on Human-Computer Interaction (2021) Vol. 5, Iss. CSCW1, pp. 1-42
Open Access | Times Cited: 15
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