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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:

Proppy: Organizing the news based on their propagandistic content
Alberto Barrón‐Cedeño, Israa Jaradat, Giovanni Da San Martino, et al.
Information Processing & Management (2019) Vol. 56, Iss. 5, pp. 1849-1864
Closed Access | Times Cited: 170

Showing 1-25 of 170 citing articles:

Fine-Grained Analysis of Propaganda in News Article
Giovanni Da San Martino, Seunghak Yu, Alberto Barrón‐Cedeño, et al.
(2019)
Open Access | Times Cited: 260
SemEval-2020 Task 11: Detection of Propaganda Techniques in News Articles
Giovanni Da San Martino, Alberto Barrón‐Cedeño, Henning Wachsmuth, et al.
(2020), pp. 1377-1414
Open Access | Times Cited: 185
Fighting the COVID-19 Infodemic: Modeling the Perspective of Journalists, Fact-Checkers, Social Media Platforms, Policy Makers, and the Society
Firoj Alam, Shaden Shaar, Fahim Dalvi, et al.
(2021)
Open Access | Times Cited: 118
SemEval-2023 Task 3: Detecting the Category, the Framing, and the Persuasion Techniques in Online News in a Multi-lingual Setup
Jakub Piskorski, Nicolas Stefanovitch, Giovanni Da San Martino, et al.
Proceedings of the 16th International Workshop on Semantic Evaluation (SemEval-2022) (2023)
Open Access | Times Cited: 60
Fake news detection: A survey of graph neural network methods
Huyen Trang Phan, Ngoc Thanh Nguyên, Dosam Hwang
Applied Soft Computing (2023) Vol. 139, pp. 110235-110235
Open Access | Times Cited: 54
It’s All in the Embedding! Fake News Detection Using Document Embeddings
Ciprian-Octavian Truică, Elena-Simona Apostol
Mathematics (2023) Vol. 11, Iss. 3, pp. 508-508
Open Access | Times Cited: 42
A Survey on Computational Propaganda Detection
Giovanni Da San Martino, Stefano Cresci, Alberto Barrón‐Cedeño, et al.
(2020), pp. 4826-4832
Open Access | Times Cited: 132
Fine-Grained Analysis of Propaganda in News Articles
Giovanni Da San Martino, Seunghak Yu, Alberto Barrón‐Cedeño, et al.
arXiv (Cornell University) (2019)
Open Access | Times Cited: 104
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: 91
SemEval-2021 Task 6: Detection of Persuasion Techniques in Texts and Images
Dimitar Dimitrov, Bishr Bin Ali, Shaden Shaar, et al.
Proceedings of the 16th International Workshop on Semantic Evaluation (SemEval-2022) (2021)
Open Access | Times Cited: 70
Detecting Propaganda Techniques in Memes
Dimitar Dimitrov, Bishr Bin Ali, Shaden Shaar, et al.
(2021)
Open Access | Times Cited: 68
Fake news detection: a survey of evaluation datasets
Arianna D’Ulizia, Maria Chiara Caschera, Fernando Ferri, et al.
PeerJ Computer Science (2021) Vol. 7, pp. e518-e518
Open Access | Times Cited: 62
Factors influencing fake news rebuttal acceptance during the COVID-19 pandemic and the moderating effect of cognitive ability
Xin Wang, Fan Chao, Guang Yu, et al.
Computers in Human Behavior (2021) Vol. 130, pp. 107174-107174
Open Access | Times Cited: 59
The fingerprints of misinformation: how deceptive content differs from reliable sources in terms of cognitive effort and appeal to emotions
Carlos Carrasco
Humanities and Social Sciences Communications (2022) Vol. 9, Iss. 1
Open Access | Times Cited: 54
Overview of the WANLP 2022 Shared Task on Propaganda Detection in Arabic
Firoj Alam, Hamdy Mubarak, Wajdi Zaghouani, et al.
(2022), pp. 108-118
Open Access | Times Cited: 46
A Review on Electronic Health Record Text-Mining for Biomedical Name Entity Recognition in Healthcare Domain
Pir Noman Ahmad, Adnan Muhammad Shah, Kang Yoon Lee
Healthcare (2023) Vol. 11, Iss. 9, pp. 1268-1268
Open Access | Times Cited: 30
Hierarchical graph-based integration network for propaganda detection in textual news articles on social media
Pir Noman Ahmad, J. Guo, Nagwa M. AboElenein, et al.
Scientific Reports (2025) Vol. 15, Iss. 1
Open Access | Times Cited: 1
Findings of the NLP4IF-2019 Shared Task on Fine-Grained Propaganda Detection
Giovanni Da San Martino, Alberto Barrón‐Cedeño, Preslav Nakov
(2019)
Open Access | Times Cited: 74
Prta: A System to Support the Analysis of Propaganda Techniques in the News
Giovanni Da San Martino, Shaden Shaar, Yifan Zhang, et al.
(2020)
Open Access | Times Cited: 53
The theater of fake news spreading, who plays which role? A study on real graphs of spreading on Twitter
Amirhosein Bodaghi, Jonice Oliveira
Expert Systems with Applications (2021) Vol. 189, pp. 116110-116110
Closed Access | Times Cited: 53
The Spread of Propaganda by Coordinated Communities on Social Media
Kristina Hristakieva, Stefano Cresci, Giovanni Da San Martino, et al.
(2022), pp. 191-201
Open Access | Times Cited: 31
ArAIEval Shared Task: Persuasion Techniques and Disinformation Detection in Arabic Text
Maram Hasanain, Firoj Alam, Hamdy Mubarak, et al.
(2023), pp. 483-493
Open Access | Times Cited: 21
End-to-End Multimodal Fact-Checking and Explanation Generation: A Challenging Dataset and Models
Barry Menglong Yao, Aditya Shah, Lichao Sun, et al.
Proceedings of the 45th International ACM SIGIR Conference on Research and Development in Information Retrieval (2023), pp. 2733-2743
Open Access | Times Cited: 20
How to detect propaganda from social media? Exploitation of semantic and fine-tuned language models
Muhammad Shahid Iqbal Malik, Tahir Imran, Jamjoom Mona Mamdouh
PeerJ Computer Science (2023) Vol. 9, pp. e1248-e1248
Open Access | Times Cited: 18
G-HFIN: Graph-based Hierarchical Feature Integration Network for propaganda detection of We-media news articles
Xinyu Liu, Kun Ma, Qiang Wei, et al.
Engineering Applications of Artificial Intelligence (2024) Vol. 132, pp. 107922-107922
Closed Access | Times Cited: 6
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