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:

That is a Known Lie: Detecting Previously Fact-Checked Claims
Shaden Shaar, Nikolay Babulkov, Giovanni Da San Martino, et al.
(2020)
Open Access | Times Cited: 115

Showing 1-25 of 115 citing articles:

A Survey on Automated Fact-Checking
Zhijiang Guo, Michael Schlichtkrull, Andreas Vlachos
Transactions of the Association for Computational Linguistics (2022) Vol. 10, pp. 178-206
Open Access | Times Cited: 190

Automated Fact-Checking for Assisting Human Fact-Checkers
Preslav Nakov, David Corney, Maram Hasanain, et al.
(2021)
Open Access | Times Cited: 119

A Survey on Stance Detection for Mis- and Disinformation Identification
Momchil Hardalov, Arnav Arora, Preslav Nakov, et al.
Findings of the Association for Computational Linguistics: NAACL 2022 (2022)
Open Access | Times Cited: 93

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

The CLEF-2021 CheckThat! Lab on Detecting Check-Worthy Claims, Previously Fact-Checked Claims, and Fake News
Preslav Nakov, Giovanni Da San Martino, Tamer Elsayed, et al.
Lecture notes in computer science (2021), pp. 639-649
Closed Access | Times Cited: 75

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: 74

Zoom Out and Observe: News Environment Perception for Fake News Detection
Qiang Sheng, Juan Cao, Xueyao Zhang, et al.
Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) (2022)
Open Access | Times Cited: 52

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

The perils and promises of fact-checking with large language models
Dorian Quelle, Alexandre Bovet
Frontiers in Artificial Intelligence (2024) Vol. 7
Open Access | Times Cited: 13

Factuality challenges in the era of large language models and opportunities for fact-checking
Isabelle Augenstein, Timothy Baldwin, Meeyoung Cha, et al.
Nature Machine Intelligence (2024) Vol. 6, Iss. 8, pp. 852-863
Closed Access | Times Cited: 13

Overview of the CLEF–2021 CheckThat! Lab on Detecting Check-Worthy Claims, Previously Fact-Checked Claims, and Fake News
Preslav Nakov, Giovanni Da San Martino, Tamer Elsayed, et al.
Lecture notes in computer science (2021), pp. 264-291
Open Access | Times Cited: 53

Combining vagueness detection with deep learning to identify fake news
Paul Guélorget, Benjamin Icard, Guillaume Gadek, et al.
2021 IEEE 24th International Conference on Information Fusion (FUSION) (2021) Vol. abs 1304 6777, pp. 1-8
Open Access | Times Cited: 43

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: 42

Integrating Pattern- and Fact-based Fake News Detection via Model Preference Learning
Qiang Sheng, Xueyao Zhang, Juan Cao, et al.
(2021), pp. 1640-1650
Open Access | Times Cited: 42

Crowdsourced Fact-Checking at Twitter
Mohammed Saeed, Nicolas Traub, Maelle Nicolas, et al.
Proceedings of the 31st ACM International Conference on Information & Knowledge Management (2022), pp. 1736-1746
Open Access | Times Cited: 31

Social and Cognitive Aspects of the Vulnerability to Political Misinformation
Myrto Pantazi, Scott A. Hale, Olivier Klein
Political Psychology (2021) Vol. 42, Iss. S1, pp. 267-304
Open Access | Times Cited: 37

Overview of the CLEF–2022 CheckThat! Lab on Fighting the COVID-19 Infodemic and Fake News Detection
Preslav Nakov, Alberto Barrón‐Cedeño, Giovanni Da San Martino, et al.
Lecture notes in computer science (2022), pp. 495-520
Closed Access | Times Cited: 26

MisRoBÆRTa: Transformers versus Misinformation
Ciprian-Octavian Truică, Elena-Simona Apostol
Mathematics (2022) Vol. 10, Iss. 4, pp. 569-569
Open Access | Times Cited: 25

The CLEF-2022 CheckThat! Lab on Fighting the COVID-19 Infodemic and Fake News Detection
Preslav Nakov, Alberto Barrón‐Cedeño, Giovanni Da San Martino, et al.
Lecture notes in computer science (2022), pp. 416-428
Closed Access | Times Cited: 25

Claim detection for automated fact-checking: A survey on monolingual, multilingual and cross-lingual research
Rrubaa Panchendrarajan, Arkaitz Zubiaga
Natural Language Processing Journal (2024) Vol. 7, pp. 100066-100066
Open Access | Times Cited: 5

Claim Matching Beyond English to Scale Global Fact-Checking
Ashkan Kazemi, Kiran Garimella, Devin Gaffney, et al.
(2021)
Open Access | Times Cited: 29

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

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