The DOI matches its Crossref record; 64 of the 70 references it cites were found in a registry or an index.
Automatic cyberbullying detection: A systematic review
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“These studies do not show publicly available datasets for cyberbullying detection, and a few survey papers address the open issues and challenges [26,27].”
From A Review on Deep-Learning-Based Cyberbullying Detection (2023) · cites this paper as [27]
Citations
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6 of the 70 references couldn’t be matched to a known paper.
Research works printed but not linked: 1
- Nahar, 2014, An effective approach for cyberbullying detection, Communications in Information Science and Management Engineering, 3, 238
Cited by
Sorted by citations
Natarajan, Y., Srihari, K., Dhiman, G., Somasundaram, K., Sharma, A., Rajeskannan, S., Soni, M., Gaba, G. S., AlZain, M. A., & Masud, M. (2021) · Mathematical Problems in Engineering · doi:10.1155/2021/6644652 · Cited by 218
Cyberbullying detection solutions based on deep learning architectures
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Accurate Cyberbullying Detection and Prevention on Social Media
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Metadata
- Authors
- Rosa, H., Pereira, N., Ribeiro, R., Ferreira, P. C., Carvalho, J. P., Oliveira, S., Coheur, L., Paulino, P., Veiga Simão, A. M., & Trancoso, I.
- Affiliations
- Instituto de Engenharia de Sistemas e Computadores Investigação e Desenvolvimento (PT)
- University of Lisbon (PT)
- Iscte – Instituto Universitário de Lisboa (PT)
- Corresponding author
- Pereira, N.
- ORCID
- Venue
- Computers in Human Behavior
- Publisher
- Elsevier BV
- Published
- 2019-04
- Volume
- 93
- Pages
- 333-345
- ISSN
- 0747-5632 (ISSN-L)
- OpenAlex
- W2904937466
- Cited by
- 307
- References
- 70
- Citations by year
- 2026: 29 · 2025: 31 · 2024: 47 · 2023: 57 · 2022: 48 · 2021: 55 · 2020: 27 · 2019: 13
- FWCI
- 2.76
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Computers in Human Behavior (publishedVersion)
- Portuguese National Funding Agency for Science, Research and Technology (RCAAP Project by FCT) (submittedVersion)
- Funders
- Foundation for Science and Technology (PTDC/MHC/PED/3297/2014, SFRH/BPD/110695/2015)
- Psychological Science of the Faculty of Psychology of the University of Lisbon (UID/PSI/4527/2016)
- Institute of System and Computer Engineering, Research and Development of Lisbon (UID/CEC/50021/2013, SFRH/BSAB/136312/2018)
- 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 › Psychology › Social Psychology › Bullying, Victimization, and Aggression
- Keywords
- cyberbullying detection, automated detection, social networks, adolescents, class imbalance, evaluation methodology
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