The DOI matches its Crossref record; 38 of the 38 references it cites were found in a registry or an index.
A BERT-Based Transfer Learning Approach for Hate Speech Detection in Online Social Media
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“On a variety of natural language understanding tasks, Bidirectional Encoder Representation from Transformers (BERT) has produced outstanding results. In numerous studies, BERT outperformed conventional machine learning algorithms, achieved cutting-edge performance, and demonstrated promising results in the detection of cyberbullying.”
From A Review on Deep-Learning-Based Cyberbullying Detection (2023) · cites this paper as [60]
Experimental — accuracy not yet measuredThe source backs part of the claim, not all of it — or backs it for a different population, condition or comparison.
In the citing paper
“To assess the effectiveness of BERT in detecting cyberbullying in a social media context, Mozafari et al. [60] used BERT to categorize cyberbullying in two social media datasets. In terms of precision, recall, and F1 scores, their experimental findings are encouraging when compared to the prior research in this area.”
From A Review on Deep-Learning-Based Cyberbullying Detection (2023) · cites this paper as [60]
Experimental — accuracy not yet measuredThe source backs part of the claim, not all of it — or backs it for a different population, condition or comparison.
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“Studies [22,58-60] show that BERT achieved high accuracy and F1 scores to classify cyberbullying in various types of online content, such as tweets and comments.”
From A Review on Deep-Learning-Based Cyberbullying Detection (2023) · cites this paper as [60]
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Citations
Cites
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Automated Hate Speech Detection and the Problem of Offensive Language
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Using Convolutional Neural Networks to Classify Hate-Speech
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Understanding Abuse: A Typology of Abusive Language Detection Subtasks
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Racial Bias in Hate Speech and Abusive Language Detection Datasets
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Universal Language Model Fine-tuning for Text Classification
Howard, J., & Ruder, S. (2018) · arXiv · doi:10.48550/arxiv.1801.06146
Racial Bias in Hate Speech and Abusive Language Detection Datasets
Davidson, T., Bhattacharya, D., & Weber, I. (2019) · arXiv · doi:10.48550/arxiv.1905.12516
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Cited by
Sorted by citations
Hate speech detection and racial bias mitigation in social media based on BERT model
Mozafari, M., Farahbakhsh, R., & Crespi, N. (2020) · PLOS ONE · doi:10.1371/journal.pone.0237861 · Cited by 260
Self-citationA Fine-Tuned BERT-Based Transfer Learning Approach for Text Classification
Qasim, R., Bangyal, W. H., Alqarni, M., & Almazroi, A. A. (2022) · Journal of Healthcare Engineering · doi:10.1155/2022/3498123 · Cited by 268
Dealing with Disagreements: Looking Beyond the Majority Vote in Subjective Annotations
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Towards generalisable hate speech detection: a review on obstacles and solutions
Yin, W., & Zubiaga, A. (2021) · PeerJ Computer Science · doi:10.7717/peerj-cs.598 · Cited by 238
Misogyny Detection in Twitter: a Multilingual and Cross-Domain Study
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Metadata
- Authors
- Mozafari, M., Farahbakhsh, R., & Crespi, N.
- Affiliations
- Centre National de la Recherche Scientifique (FR)
- Corresponding author
- Mozafari, Marzieh
- Venue
- Studies in Computational Intelligence
- Publisher
- Springer International Publishing
- Published
- 2019-11-26
- Volume
- Studies in Computational Intelligence book series (SCI, volume 881)
- Pages
- 928-940
- ISSN
- 1860-949X (ISSN-L)
- 1860-9503
- OpenAlex
- W2981478815
- Cited by
- 396
- References
- 31
- Citations by year
- 2026: 25 · 2025: 44 · 2024: 67 · 2023: 81 · 2022: 73 · 2021: 75 · 2020: 31
- FWCI
- 17.12
- Type
- conference paper
- Language
- en
- Open access
- green
- arxiv.org
- Licence
- www.springer.com/tdm (tdm)
- Locations
- Studies in computational intelligence (publishedVersion)
- arXiv (Cornell University) (submittedVersion)
- HAL (submittedVersion, other-oa)
- arXiv (Cornell University)
- Topics
- Physical Sciences › Computer Science › Artificial Intelligence › Hate Speech and Cyberbullying Detection
- Physical Sciences › Computer Science › Artificial Intelligence › Sentiment Analysis and Opinion Mining
- Social Sciences › Sociology and Political Science › Misinformation and Its Impacts
- Keywords
- hate speech detection, BERT, transfer learning, fine-tuning, social media, offensive content, racism, sexism, Twitter
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