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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:

Automatic Fact-Checking Using Context and Discourse Information
Pepa Atanasova, Preslav Nakov, Lluı́s Màrquez, et al.
Journal of Data and Information Quality (2019) Vol. 11, Iss. 3, pp. 1-27
Open Access | Times Cited: 60

Showing 1-25 of 60 citing articles:

The Emergence of Deepfake Technology: A Review
Mika Westerlund
Technology Innovation Management Review (2019) Vol. 9, Iss. 11, pp. 39-52
Open Access | Times Cited: 641
The spread of COVID-19 conspiracy theories on social me-dia and the effect of content moderation
Orestis Papakyriakopoulos, Juan Carlos Medina Serrano, Simon Hegelich
(2020)
Open Access | Times Cited: 77
Overview of CheckThat! 2020: Automatic Identification and Verification of Claims in Social Media
Alberto Barrón‐Cedeño, Tamer Elsayed, Preslav Nakov, et al.
Lecture notes in computer science (2020), pp. 215-236
Closed Access | Times Cited: 76
Automated fact‐checking: A survey
Xia Zeng, Amani S. Abumansour, Arkaitz Zubiaga
Language and Linguistics Compass (2021) Vol. 15, Iss. 10
Open Access | Times Cited: 76
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
Dominant Disciplinary and Thematic Approaches to Automated Fact-Checking: A Scoping Review and Reflection
Lasha Kavtaradze
Digital Journalism (2025), pp. 1-26
Open Access | Times Cited: 1
Overview of the CLEF-2019 CheckThat! Lab: Automatic Identification and Verification of Claims
Tamer Elsayed, Preslav Nakov, Alberto Barrón‐Cedeño, et al.
Lecture notes in computer science (2019), pp. 301-321
Closed Access | Times Cited: 64
InfoSurgeon: Cross-Media Fine-grained Information Consistency Checking for Fake News Detection
Yi Fung, Christopher Thomas, Revanth Gangi Reddy, et al.
(2021)
Open Access | Times Cited: 43
Integrating Machine Learning Techniques in Semantic Fake News Detection
Adrian Braşoveanu, Răzvan Andonie
Neural Processing Letters (2020) Vol. 53, Iss. 5, pp. 3055-3072
Closed Access | Times Cited: 44
The many dimensions of truthfulness: Crowdsourcing misinformation assessments on a multidimensional scale
Michael Soprano, Kevin Roitero, David La Barbera, et al.
Information Processing & Management (2021) Vol. 58, Iss. 6, pp. 102710-102710
Open Access | Times Cited: 38
Misinformation as a Window into Prejudice
Syeda Zainab Akbar, Anmol Panda, Divyanshu Kukreti, et al.
Proceedings of the ACM on Human-Computer Interaction (2021) Vol. 4, Iss. CSCW3, pp. 1-28
Closed Access | Times Cited: 37
A Case of Claims and Facts: Automated Fact-Checking the Future of Journalism’s Authority
Patrick R. Johnson
Digital Journalism (2023), pp. 1-24
Closed Access | Times Cited: 15
Combating Fake News on Social Media: A Framework, Review, and Future Opportunities
Mona Nasery, Ofir Turel, Yufei Yuan
Communications of the Association for Information Systems (2023) Vol. 53, Iss. 1, pp. 833-876
Open Access | Times Cited: 14
Contrastive Language Adaptation for Cross-Lingual Stance Detection
Mitra Mohtarami, James Glass, Preslav Nakov
(2019)
Open Access | Times Cited: 39
When classification accuracy is not enough: Explaining news credibility assessment
Piotr Przybyła, Axel J. Soto
Information Processing & Management (2021) Vol. 58, Iss. 5, pp. 102653-102653
Open Access | Times Cited: 27
The Role of Context in Detecting Previously Fact-Checked Claims
Shaden Shaar, Firoj Alam, Giovanni Da San Martino, et al.
Findings of the Association for Computational Linguistics: NAACL 2022 (2022)
Open Access | Times Cited: 21
The COVID-19 Infodemic
Kevin Roitero, Michael Soprano, Beatrice Portelli, et al.
(2020), pp. 1305-1314
Open Access | Times Cited: 30
Cross-document Misinformation Detection based on Event Graph Reasoning
Xueqing Wu, Kung-Hsiang Huang, Yi Fung, et al.
Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (2022)
Open Access | Times Cited: 16
Retrieving false claims on Twitter during the Russia-Ukraine conflict
Valerio La Gatta, Chiyu Wei, Luca Luceri, et al.
(2023)
Open Access | Times Cited: 9
FACTIFY-5WQA: 5W Aspect-based Fact Verification through Question Answering
Anku Rani, S. M Towhidul Islam Tonmoy, Dwip Dalal, et al.
(2023)
Open Access | Times Cited: 9
Striking the Balance in Using LLMs for Fact-Checking: A Narrative Literature Review
Laurence Dierickx, Arjen van Dalen, Andreas L. Opdahl, et al.
Lecture notes in computer science (2024), pp. 1-15
Closed Access | Times Cited: 3
COSMOS: Catching Out-of-Context Image Misuse Using Self-Supervised Learning
Shivangi Aneja, Chris Bregler, Matthias Nießner
Proceedings of the AAAI Conference on Artificial Intelligence (2023) Vol. 37, Iss. 12, pp. 14084-14092
Open Access | Times Cited: 8
COVID-VTS: Fact Extraction and Verification on Short Video Platforms
Fuxiao Liu, Yaser Yacoob, Abhinav Shrivastava
(2023), pp. 178-188
Open Access | Times Cited: 8
A comprehensive review on automatic detection of fake news on social media
Manish Kumar Singh, Jawed Ahmed, Mohammad Afshar Alam, et al.
Multimedia Tools and Applications (2023) Vol. 83, Iss. 16, pp. 47319-47352
Closed Access | Times Cited: 8
Can The Crowd Identify Misinformation Objectively?
Kevin Roitero, Michael Soprano, Shaoyang Fan, et al.
(2020)
Open Access | Times Cited: 23
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