The DOI matches its Crossref record.
Kids Cybersecurity Using Computational Intelligence Techniques
Overview
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
In the citing paper
“BERT can accurately detect bullying behavior in social media messages when the cue is subtle or indirect [22,116,117].”
From A Review on Deep-Learning-Based Cyberbullying Detection (2023) · cites this paper as [116]
In the citing paper
“BERT (Bidirectional Encoder Representations from Transformers) has demonstrated outstanding results in detecting cyberbullying since it is an extensive language model that can extract contextual information from a given text.”
From A Review on Deep-Learning-Based Cyberbullying Detection (2023) · cites this paper as [116]
Citations
Cited by
Sorted by citations
A Review on Deep-Learning-Based Cyberbullying Detection
Hasan, M. T., Hossain, M. A. E., Mukta, M. S. H., Akter, A., Ahmed, M., & Islam, S. (2023) · Future Internet · doi:10.3390/fi15050179 · Cited by 103
Children’s Safety on YouTube: A Systematic Review
Alqahtani, S. I., Yafooz, W. M. S., Alsaeedi, A., Syed, L., & Alluhaibi, R. (2023) · Applied Sciences · doi:10.3390/app13064044 · Cited by 45
Self-citationAbdillah, A., Widianingsih, I., Buchari, R. A., & Nurasa, H. (2024) · Array · doi:10.1016/j.array.2024.100336 · Cited by 26
Animashaun, D., & Hussain, M. (2023) · Sensors · doi:10.3390/s23136235 · Cited by 9
Aydin, B. A., Hussain, M., Hill, R., & Al-Aqrabi, H. (2023) · 2023 9th International Conference on Information Technology Trends (ITT) · doi:10.1109/itt59889.2023.10184244 · Cited by 9
Self-citation
Metadata
- Authors
- Yafooz, W. M. S., Al-Aqrabi, H., Al-Dhaqm, A., & Emara, A.-H. M.
- Affiliations
- Taibah University (SA)
- University of Huddersfield (GB)
- University of Technology Malaysia (MY)
- Venue
- Studies in Computational Intelligence
- Publisher
- Springer International Publishing
- Published
- 2023
- ISSN
- 1860-949X (ISSN-L)
- 1860-9503
- OpenAlex
- W4321442891
- Cited by
- 6
- References
- 0
- Citations by year
- 2024: 2 · 2023: 4
- FWCI
- 1.06
- Type
- book
- Language
- en
- Open access
- closed
- Licence
- Locations
- Studies in computational intelligence (publishedVersion)
- Topics
- Physical Sciences › Computer Science › Artificial Intelligence › Hate Speech and Cyberbullying Detection
- Physical Sciences › Computer Science › Information Systems › Spam and Phishing Detection
- Social Sciences › Psychology › Social Psychology › Bullying, Victimization, and Aggression
- Keywords
- cyberbullying detection, social media, child online safety, computational intelligence
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
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