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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:

SemEval-2019 Task 8: Fact Checking in Community Question Answering Forums
Tsvetomila Mihaylova, Georgi Karadzhov, Pepa Atanasova, et al.
(2019), pp. 860-869
Open Access | Times Cited: 74

Showing 26-50 of 74 citing articles:

Predicting the Role of Political Trolls in Social Media
Atanas Atanasov, Gianmarco De Francisci Morales, Preslav Nakov
(2019), pp. 1023-1034
Open Access | Times Cited: 22
AnswerFact: Fact Checking in Product Question Answering
Wenxuan Zhang, Yang Deng, Jing Ma, et al.
(2020)
Open Access | Times Cited: 19
Proceedings of the 5th Workshop on Online Abuse and Harms (WOAH 2021)

(2021)
Open Access | Times Cited: 15
SemEval-2020 Task 11: Detection of Propaganda Techniques in News Articles
Giovanni Da San Martino, Alberto Barrón‐Cedeño, Henning Wachsmuth, et al.
arXiv (Cornell University) (2020)
Open Access | Times Cited: 15
Overview of the CLEF-2019 CheckThat!: Automatic Identification and Verification of Claims
Tamer Elsayed, Preslav Nakov, Alberto Barrón‐Cedeño, et al.
arXiv (Cornell University) (2021)
Open Access | Times Cited: 14
Joint Models for Answer Verification in Question Answering Systems
Zeyu Zhang, Thuy Vu, Alessandro Moschitti
(2021), pp. 3252-3262
Open Access | Times Cited: 13
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
Detecting Toxicity in News Articles: Application to Bulgarian
Yoan Dinkov, Ivan Koychev, Preslav Nakov
(2019), pp. 247-258
Open Access | Times Cited: 12
Can the crowd judge truthfulness? A longitudinal study on recent misinformation about COVID-19
Kevin Roitero, Michael Soprano, Beatrice Portelli, et al.
Personal and Ubiquitous Computing (2021) Vol. 27, Iss. 1, pp. 59-89
Open Access | Times Cited: 11
WhatTheWikiFact
Anton Chernyavskiy, Dmitry Ilvovsky, Preslav Nakov
(2021)
Closed Access | Times Cited: 11
Deterministic solution of algebraic equations in sentiment analysis
Maryam Jalali, Morteza Zahedi, Abdolali Basiri
Multimedia Tools and Applications (2023) Vol. 82, Iss. 23, pp. 35457-35474
Open Access | Times Cited: 4
Exploring and Repairing Gender Fairness Violations in Word Embedding-based Sentiment Analysis Model through Adversarial Patches
Lin Sze Khoo, Jia Qi Bay, Ming Lee Kimberly Yap, et al.
2022 IEEE International Conference on Software Analysis, Evolution and Reengineering (SANER) (2023), pp. 651-662
Open Access | Times Cited: 3
Watch ’n’ Check: Towards a Social Media Monitoring Tool to Assist Fact-Checking Experts
Assunta Cerone, Elham Naghizade, Falk Scholer, et al.
2022 IEEE 9th International Conference on Data Science and Advanced Analytics (DSAA) (2020), pp. 607-613
Closed Access | Times Cited: 8
Fact-Checking, Fake News, Propaganda, Media Bias, and the COVID-19 Infodemic
Preslav Nakov, Giovanni Da San Martino, Firoj Alam
Proceedings of the Fifteenth ACM International Conference on Web Search and Data Mining (2022), pp. 1632-1634
Closed Access | Times Cited: 5
Identifying Argumentative Questions in Web Search Logs
Yamen Ajjour, Pavel Braslavski, Alexander Bondarenko, et al.
Proceedings of the 45th International ACM SIGIR Conference on Research and Development in Information Retrieval (2022), pp. 2393-2399
Closed Access | Times Cited: 5
AUTOHOME-ORCA at SemEval-2019 Task 8: Application of BERT for Fact-Checking in Community Forums
Zhengwei Lv, Duoxing Liu, Haifeng Sun, et al.
(2019), pp. 870-876
Open Access | Times Cited: 7
Can We Spot the "Fake News" Before It Was Even Written?
Preslav Nakov
arXiv (Cornell University) (2020)
Closed Access | Times Cited: 7
Using NLP for Fact Checking: A Survey
Eric Lazarski, Mahmood Al-khassaweneh, Cynthia Howard
Designs (2021) Vol. 5, Iss. 3, pp. 42-42
Open Access | Times Cited: 6
CrowdQM: Learning Aspect-Level User Reliability and Comment Trustworthiness in Discussion Forums
Alex Morales, Kanika Narang, Hari Sundaram, et al.
Lecture notes in computer science (2020), pp. 592-605
Open Access | Times Cited: 5
Fact-Checking, Fake News, Propaganda, and Media Bias: Truth Seeking in the Post-Truth Era
Preslav Nakov, Giovanni Da San Martino
(2020)
Open Access | Times Cited: 5
Automating assessment of design exams: A case study of novelty evaluation
Nandita Bhanja Chaudhuri, Debayan Dhar, Pradeep Yammiyavar
Expert Systems with Applications (2021) Vol. 189, pp. 116108-116108
Closed Access | Times Cited: 5
Fake News, Disinformation, Propaganda, and Media Bias
Preslav Nakov, Giovanni Da San Martino
(2021), pp. 4862-4865
Closed Access | Times Cited: 5
The COVID-19 Infodemic: Can the Crowd Judge Recent Misinformation Objectively?
Kevin Roitero, Michael Soprano, Beatrice Portelli, et al.
arXiv (Cornell University) (2020)
Open Access | Times Cited: 4
SemEval-2021 Task 9: Fact Verification and Evidence Finding for Tabular Data in Scientific Documents (SEM-TAB-FACTS).
Nancy X. R. Wang, Diwakar Mahajan, Marina Danilevsky, et al.
arXiv (Cornell University) (2021)
Closed Access | Times Cited: 4
Topical and Non-Topical Approaches to Measure Similarity between Arabic Questions
Mohammad Daoud
Big Data and Cognitive Computing (2022) Vol. 6, Iss. 3, pp. 87-87
Open Access | Times Cited: 3

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