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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:

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

Showing 21 citing articles:

Automated Fact-Checking for Assisting Human Fact-Checkers
Preslav Nakov, David Corney, Maram Hasanain, et al.
(2021)
Open Access | Times Cited: 119
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
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
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
DISARM: Detecting the Victims Targeted by Harmful Memes
Shivam Sharma, Md Shad Akhtar, Preslav Nakov, et al.
Findings of the Association for Computational Linguistics: NAACL 2022 (2022)
Open Access | Times Cited: 17
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
Semantic similarity models for automated fact-checking: ClaimCheck as a claim matching tool
Irene Larraz, Rubén Míguez, Francesca Sallicati
El Profesional de la Informacion (2023)
Open Access | Times Cited: 9
A Second Pandemic? Analysis of Fake News About COVID-19 Vaccines in Qatar
Preslav Nakov, Firoj Alam, Shaden Shaar, et al.
(2021), pp. 1010-1021
Open Access | Times Cited: 20
Overview of the CLEF-2021 CheckThat! Lab Task 1 on check-worthiness estimation in tweets and political debates
Shaden Shaar, Maram Hasanain, Bayan Hamdan, et al.
Cross-Language Evaluation Forum (2021) Vol. 2936, pp. 369-392
Closed Access | Times Cited: 18
Assisting the Human Fact-Checkers: Detecting All Previously Fact-Checked Claims in a Document
Shaden Shaar, N. Georgiev, Firoj Alam, et al.
(2022)
Open Access | Times Cited: 13
Overview of the CLEF–2023 CheckThat! Lab on Checkworthiness, Subjectivity, Political Bias, Factuality, and Authority of News Articles and Their Source
Alberto Barrón‐Cedeño, Firoj Alam, Andrea Galassi, et al.
Lecture notes in computer science (2023), pp. 251-275
Closed Access | Times Cited: 6
Automated Fact-Checking for Assisting Human Fact-Checkers
Preslav Nakov, David Corney, Maram Hasanain, et al.
arXiv (Cornell University) (2021)
Closed Access | Times Cited: 14
COVID-19 in Bulgarian Social Media: Factuality, Harmfulness, Propaganda, and Framing
Preslav Nakov, Firoj Alam, Shaden Shaar, et al.
(2021), pp. 997-1009
Open Access | Times Cited: 12
Overview of the CLEF-2021 CheckThat! Lab Task 2 on detecting previously fact-checked claims in tweets and political debates
Shaden Shaar, Fatima Haouari, Watheq Mansour, et al.
Cross-Language Evaluation Forum (2021) Vol. 2936, pp. 393-405
Closed Access | Times Cited: 11
Multilingual Previously Fact-Checked Claim Retrieval
Matúš Pikuliak, Ivan Srba, Róbert Móro, et al.
Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing (2023), pp. 16477-16500
Open Access | Times Cited: 4
Did I See It Before? Detecting Previously-Checked Claims over Twitter
Watheq Mansour, Tamer Elsayed, Abdulaziz Al‐Ali
Lecture notes in computer science (2022), pp. 367-381
Closed Access | Times Cited: 7
UTDRM: unsupervised method for training debunked-narrative retrieval models
Iknoor Singh, Carolina Scarton, Kalina Bontcheva
EPJ Data Science (2023) Vol. 12, Iss. 1
Open Access | Times Cited: 2
From Chaos to Clarity: Claim Normalization to Empower Fact-Checking
Megha Sundriyal, Tanmoy Chakraborty, Preslav Nakov
(2023)
Open Access | Times Cited: 1
Multilingual Previously Fact-Checked Claim Retrieval
Matúš Pikuliak, Ivan Srba, Róbert Móro, et al.
arXiv (Cornell University) (2023)
Open Access
Robust and Efficient Claim Retrieval for Online Fact-Checking Applications
Katarina Boland, Alica Hövelmeyer, Pavlos Fafalios, et al.
Research Square (Research Square) (2023)
Open Access
A Second Pandemic? Analysis of Fake News About COVID-19 Vaccines in Qatar
Preslav Nakov, Firoj Alam, Shaden Shaar, et al.
arXiv (Cornell University) (2021)
Open Access
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