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 54 citing articles:

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

We Can Detect Your Bias: Predicting the Political Ideology of News Articles
Ramy Baly, Giovanni Da San Martino, James Glass, et al.
(2020)
Open Access | Times Cited: 90

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

MOMENTA: A Multimodal Framework for Detecting Harmful Memes and Their Targets
Shraman Pramanick, Shivam Sharma, Dimitar Dimitrov, et al.
(2021)
Open Access | Times Cited: 68

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

Tackling Fake News Detection by Continually Improving Social Context Representations using Graph Neural Networks
Nikhil Mehta, María Leonor Pacheco, Dan Goldwasser
Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) (2022)
Open Access | Times Cited: 30

A systematic review on media bias detection: What is media bias, how it is expressed, and how to detect it
Francisco-Javier Rodrigo-Ginés, Jorge Carrillo‐de‐Albornoz, Laura Plaza
Expert Systems with Applications (2023) Vol. 237, pp. 121641-121641
Open Access | Times Cited: 19

Sharing News Left and Right: Frictions and Misinformation on Twitter
Daniel Ershov, Juan S. Morales
The Economic Journal (2024) Vol. 134, Iss. 662, pp. 2391-2417
Closed Access | Times Cited: 6

Infusing Knowledge from Wikipedia to Enhance Stance Detection
Zihao He, Negar Mokhberian, Kristina Lerman
(2022)
Open Access | Times Cited: 27

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

The CLEF-2023 CheckThat! Lab: Checkworthiness, Subjectivity, Political Bias, Factuality, and Authority
Alberto Barrón‐Cedeño, Firoj Alam, Tommaso Caselli, et al.
Lecture notes in computer science (2023), pp. 506-517
Closed Access | Times Cited: 12

Interpretable Propaganda Detection in News Articles
Seunghak Yu, Giovanni Da San Martino, Mitra Mohtarami, et al.
(2021), pp. 1597-1605
Open Access | Times Cited: 25

Predicting Anti-Asian Hateful Users on Twitter during COVID-19
Jisun An, Haewoon Kwak, Claire Seungeun Lee, et al.
(2021), pp. 4655-4666
Open Access | Times Cited: 22

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–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

Large-Scale, Language-Agnostic Discourse Classification of Tweets During COVID-19
Oguzhan Gencoglu
Machine Learning and Knowledge Extraction (2020) Vol. 2, Iss. 4, pp. 603-616
Open Access | Times Cited: 16

A Survey on Predicting the Factuality and the Bias of News Media
Preslav Nakov, Hüsrev Taha Sencar, Jisun An, et al.
arXiv (Cornell University) (2021)
Open Access | Times Cited: 13

From Symbols to Embeddings: A Tale of Two Representations in Computational Social Science
Huimin Chen, Cheng Yang, Xuanming Zhang, et al.
Journal of Social Computing (2021) Vol. 2, Iss. 2, pp. 103-156
Open Access | Times Cited: 12

GREENER: Graph Neural Networks for News Media Profiling
Panayot Panayotov, Utsav Shukla, Hüsrev Taha Sencar, et al.
Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing (2022)
Open Access | Times Cited: 8

Unsupervised Domain-Agnostic Fake News Detection Using Multi-Modal Weak Signals
Amila Silva, Ling Luo, Shanika Karunasekera, et al.
IEEE Transactions on Knowledge and Data Engineering (2024) Vol. 36, Iss. 11, pp. 7283-7295
Open Access | Times Cited: 1

"This Is Fake News": Characterizing the Spontaneous Debunking from Twitter Users to COVID-19 False Information
Kunihiro Miyazaki, Takayuki Uchiba, Kenji Tanaka, et al.
Proceedings of the International AAAI Conference on Web and Social Media (2023) Vol. 17, pp. 650-661
Open Access | Times Cited: 4

Reliability Estimation of News Media Sources: Birds of a Feather Flock Together
Sergio Burdisso, Dairazalia Sánchez-Cortés, Esaú Villatoro-Tello, et al.
(2024), pp. 6900-6918
Closed Access | Times Cited: 1

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