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:

Introducing CAD: the Contextual Abuse Dataset
Bertie Vidgen, Dong Nguyen, Helen Margetts, et al.
Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (2021)
Open Access | Times Cited: 68

Showing 1-25 of 68 citing articles:

Learning from the Worst: Dynamically Generated Datasets to Improve Online Hate Detection
Bertie Vidgen, Tristan Thrush, Zeerak Waseem, et al.
(2021)
Open Access | Times Cited: 119

Two Contrasting Data Annotation Paradigms for Subjective NLP Tasks
Paul Röttger, Bertie Vidgen, Dirk Hovy, et al.
Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (2022)
Open Access | Times Cited: 58

Hatemoji: A Test Suite and Adversarially-Generated Dataset for Benchmarking and Detecting Emoji-Based Hate
Hannah Rose Kirk, Bertie Vidgen, Paul Röttger, et al.
Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (2022)
Open Access | Times Cited: 32

Do LLMs Understand Social Knowledge? Evaluating the Sociability of Large Language Models with SocKET Benchmark
Minje Choi, Jiaxin Pei, Sagar Kumar, et al.
Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing (2023)
Open Access | Times Cited: 19

Confronting Abusive Language Online: A Survey from the Ethical and Human Rights Perspective
Svetlana Kiritchenko, Isar Nejadgholi, Kathleen Fraser
Journal of Artificial Intelligence Research (2021) Vol. 71, pp. 431-478
Open Access | Times Cited: 37

KOLD: Korean Offensive Language Dataset
Younghoon Jeong, Juhyun Oh, Jongwon Lee, et al.
Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing (2022), pp. 10818-10833
Open Access | Times Cited: 26

Hate Speech and Counter Speech Detection: Conversational Context Does Matter
Xinchen Yu, Eduardo Blanco, Lingzi Hong
Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (2022), pp. 5918-5930
Open Access | Times Cited: 23

Hidden behind the obvious: Misleading keywords and implicitly abusive language on social media
Wenjie Yin, Arkaitz Zubiaga
Online Social Networks and Media (2022) Vol. 30, pp. 100210-100210
Open Access | Times Cited: 22

Necessity and Sufficiency for Explaining Text Classifiers: A Case Study in Hate Speech Detection
Esma Balkır, Isar Nejadgholi, Kathleen Fraser, et al.
Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (2022), pp. 2672-2686
Open Access | Times Cited: 21

Leveraging posts’ and authors’ metadata to spot several forms of abusive comments in Twitter
Marco Casavantes, Mario Ezra Aragón, Luis C. González, et al.
Journal of Intelligent Information Systems (2023) Vol. 61, Iss. 2, pp. 519-539
Closed Access | Times Cited: 11

Introducing MBIB - The First Media Bias Identification Benchmark Task and Dataset Collection
Martin Wessel, Tomáš Horych, Terry Ruas, et al.
Proceedings of the 45th International ACM SIGIR Conference on Research and Development in Information Retrieval (2023), pp. 2765-2774
Open Access | Times Cited: 11

Multi-Modal Discussion Transformer: Integrating Text, Images and Graph Transformers to Detect Hate Speech on Social Media
Liam Hebert, Gaurav Sahu, Yuxuan Guo, et al.
Proceedings of the AAAI Conference on Artificial Intelligence (2024) Vol. 38, Iss. 20, pp. 22096-22104
Open Access | Times Cited: 4

Towards Generalized Offensive Language Identification
Alphaeus Dmonte, Tejas Arya, Tharindu Ranasinghe, et al.
Lecture notes in computer science (2025), pp. 271-286
Closed Access

Features or Spurious Artifacts? Data-centric Baselines for Fair and Robust Hate Speech Detection
Alan Ramponi, Sara Tonelli
Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (2022)
Open Access | Times Cited: 17

A Comprehensive Dataset for German Offensive Language and Conversation Analysis
Christoph Demus, Jonas Pitz, Mina Schütz, et al.
(2022)
Open Access | Times Cited: 15

CoSyn: Detecting Implicit Hate Speech in Online Conversations Using a Context Synergized Hyperbolic Network
Sreyan Ghosh, Manan Suri, Purva Chiniya, et al.
Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing (2023), pp. 6159-6173
Open Access | Times Cited: 8

COBRA Frames: Contextual Reasoning about Effects and Harms of Offensive Statements
Xuhui Zhou, Hao Zhu, Akhila Yerukola, et al.
Findings of the Association for Computational Linguistics: ACL 2022 (2023)
Open Access | Times Cited: 7

“It’s Not Just Hate”: A Multi-Dimensional Perspective on Detecting Harmful Speech Online
Federico Bianchi, Stefanie Anja Hills, Patrícia Rossini, et al.
Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing (2022)
Open Access | Times Cited: 10

Identifying Implicitly Abusive Remarks about Identity Groups using a Linguistically Informed Approach
Michael Wiegand, Elisabeth Eder, Josef Ruppenhofer
Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (2022), pp. 5600-5612
Open Access | Times Cited: 9

How Hate Speech Varies by Target Identity: A Computational Analysis
Michael Yoder, Lynnette Hui Xian Ng, David West Brown, et al.
(2022)
Open Access | Times Cited: 9

Rule By Example: Harnessing Logical Rules for Explainable Hate Speech Detection
Christopher Clarke, Matt Hall, Gaurav Mittal, et al.
(2023), pp. 364-376
Open Access | Times Cited: 4

Multilingual Content Moderation: A Case Study on Reddit
Meng Ye, Karan Sikka, Katherine Atwell, et al.
(2023), pp. 3828-3844
Open Access | Times Cited: 4

SOLD: Sinhala offensive language dataset
Tharindu Ranasinghe, Isuri Anuradha, Damith Premasiri, et al.
Language Resources and Evaluation (2024)
Open Access | Times Cited: 1

Hate Cannot Drive Out Hate: Forecasting Conversation Incivility following Replies to Hate Speech
Xinchen Yu, Eduardo Blanco, Lingzi Hong
Proceedings of the International AAAI Conference on Web and Social Media (2024) Vol. 18, pp. 1740-1752
Open Access | Times Cited: 1

MetaHate: A Dataset for Unifying Efforts on Hate Speech Detection
P Piot, Patricia Martín-Rodilla, Javier Parapar
Proceedings of the International AAAI Conference on Web and Social Media (2024) Vol. 18, pp. 2025-2039
Open Access | Times Cited: 1

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