Detection of Cyberhectoring on Instagram
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Other research examined cyberbullying using Caffe, Deeplearning4j, and MXNet.
“We have also observed other research that examined cyberbullying by using different frameworks, such as Caffe [187], Deeplearning4j [188], and MXNet [178].”
From A Review on Deep-Learning-Based Cyberbullying Detection (2023) · cites this paper as [187]
Cites
Automatic detection of cyberbullying in social media text
Hee, C. V., Jacobs, G., Emmery, C., Desmet, B., Lefever, E., Verhoeven, B., Pauw, G. D., Daelemans, W. M. P., & Hoste, V. (2018) · PLoS ONE · doi:10.1371/journal.pone.0203794 · Cited by 403 · see citing works
Deep Learning for Detecting Cyberbullying Across Multiple Social Media Platforms
Agrawal, S., & Awekar, A. (2018) · Lecture Notes in Computer Science · doi:10.1007/978-3-319-76941-7_11 · Cited by 387 · see citing works
Approaches to automated detection of cyberbullying: A survey
Salawu, S., He, Y., & Lumsden, J. (2020) · IEEE Transactions on Affective Computing · doi:10.1109/taffc.2017.2761757 · Cited by 258 · see citing works
Analyzing Labeled Cyberbullying Incidents on the Instagram Social Network
Hosseinmardi, H., Mattson, S. A., Rafiq, R. I., Han, R. Y., Lv, Q., & Mishra, S. (2015) · Lecture notes in computer science · doi:10.1007/978-3-319-27433-1_4 · Cited by 257 · see citing works
Cyber Bullying Detection Using Social and Textual Analysis
Huang, Q., Singh, V. K., & Atrey, P. K. (2014) · doi:10.1145/2661126.2661133 · Cited by 212 · see citing works
Content-driven detection of cyberbullying on the instagram social network
Zhong, H., Li, H., Squicciarini, A., Rajtmajer, S. M., Griffin, C. H., Miller, D. J., & Caragea, C. (2016) · International Joint Conference on Artificial Intelligence · Cited by 133 · see citing works
Automatic Detection and Prevention of Cyberbullying
Hee, C. V., Lefever, E., Verhoeven, B., Mennes, J., Desmet, B., Pauw, G. D., Daelemans, W. M. P., & Hoste, V. (2015) · Ghent University Academic Bibliography (Ghent University) · Cited by 69 · see citing works
Methods for detection of cyberbullying: A survey
Sugandhi, R. S., Pande, A., Chawla, S., Agrawal, A., & Bhagat, H. (2015) · International Conference on Intelligent Systems Design and Applications (ISDA) · doi:10.1109/isda.2015.7489220 · Cited by 29 · see citing works
At a Glance of Sybil Detection in OSN
Kansara, K. B., & Shekokar, N. M. (2015) · IEEE International Symposium on Nanoelectronic and Information Systems (iNIS) · doi:10.1109/inis.2015.46 · Cited by 5 · see citing works
CYBERBULLYING DETECTION ON TWITTER
Hon, L. C., & Varathan, K. D. (2015) · International Journal of Information Systems and Engineering · doi:10.24924/ijise/2015.04/v3.iss1/36.47 · Cited by 3 · see citing works
(2011) · Benezit Dictionary of Artists · doi:10.1093/benz/9780199773787.article.b00047241 · Cited by 1 · see citing works
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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 · see citing works
“We have also observed other research that examined cyberbullying by using different frameworks, such as Caffe [187], Deeplearning4j [188], and MXNet [178].”
ResultMultimodal Cyberbullying Detection using Hybrid Deep Learning Algorithms
Vijayakumar, V., & Hari Prasad, D. (2021) · International Journal of Applied Engineering Research · doi:10.37622/ijaer/16.7.2021.568-574 · Cited by 17 · see citing works
Pericherla, S., & Ilavarasan, E. (2025) · Evolving Systems · doi:10.1007/s12530-025-09656-2 · Cited by 8 · see citing works
Hyperparameter Tuning of Pre-Trained Architectures for Multi-Modal Cyberbullying Detection
Pericherla, S., Rudraraju, L. H., & Chaubey, N. K. (2024) · Advances in information security, privacy, and ethics book series · doi:10.4018/979-8-3693-5961-7.ch017 · Cited by 4 · see citing works
A Novel Approach for Image based Cyberbullying Detection and Prevention
Vijayakumar, V., Hari Prasad, D., & Adolf, P. (2021) · International Journal of Computer Applications · doi:10.5120/ijca2021921591 · Cited by 4 · see citing works
- Authors
- Patange, T., Singh, J., Thorve, A., Somaraj, Y., & Vyawahare, M.
- Affiliations
- University of Mumbai (IN)
- Corresponding author
- Singh, Jigyasa
- ORCID
- Vyawahare, Madhura
- Venue
- SSRN Electronic Journal
- Publisher
- Elsevier BV
- Published
- 2019
- ISSN
- 1556-5068 (ISSN-L)
- OpenAlex
- W3163014972
- Cited by
- 5
- References
- 11
- Citations by year
- 2025: 1 · 2024: 1 · 2023: 1 · 2021: 2
- Type
- posted content
- Language
- en
- Open access
- green
- doi.org
- Locations
- SSRN Electronic Journal (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, Instagram, social media comments, image content analysis, swearing, linguistic features, adolescents
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