ARCHIVES

1) A &. F. S. M. Muneer, "A Comparative Analysis of Machine Learning Techniques for Cyberbullying Detection on Twitter", Future
Internet, vol. 12, no. 11, 2020.
2) A. Agarwal, "Information technology vis-a-vis human rights: an analytical and legal approach", Int'l JL Mgmt. & Human, vol. 5, no.
2, 2022.3) C. Van Hee, G. Jacobs, C. Emmery, B. Desmet, E. Lefever, B. Verhoeven, et al., "Automatic detection of cyberbullying in social media
text", PLoS ONE, vol. 13, no. 10, 2018.
4) H. Ahmad Ghazali, A. Abu Samah, S. Z. Omar, H. Abdullah, A. Ahmad and H. A. Mohamed Shaffril, "Predictors of Cyberbullying
among Malaysian Youth", Journal of Cognitive Sciences and Human Development, vol. 6, no. 1, pp. 67-80, 2020.
5) H. Margono, "Analysis of the Indonesian Cyberbullying through Data Mining: The Effective Identification of Cyberbullying through
Characteristics of Messages", Dissertation, 2019.
6) H. Rosa, N. Pereira, R. Ribeiro, P. C. Ferreira, J. P. Carvalho, S. Oliveira, et al., "Automatic cyberbullying detection: A systematic
review", Computers in Human Behavior, vol. 93, pp. 333-345, 2019.
7) John Hani Mounir, Mohamed Nashaat, Mostafa Ahmed, Zeyad Emad, Eslam Amer and Ammar Mohammed, "Social Media
Cyberbullying Detection using Machine Learning", (IJACSA) International Journal of Advanced Computer Science and Applications,
vol. 10, pp. 703-707, 2019.
8) O. Habimana, Y. Li, R. Li, X. Gu and G. Yu, "Sentiment analysis using deep learning approaches: an overview", Science China
Information Sciences, vol. 63, no. 1, pp. 1-36, 2020.
9) T. K. Chan, C. M. Cheung and Z. W. Lee, "Cyberbullying on social networking sites: A literature review and future research
directions", Information & Management, vol. 58, no. 2, 2021.
10) V. Ashok, "Nexus of advanced technology platforms for strengthening cyber-defense capabilities" in Practical applications of
advanced technologies for enhancing security and defense capabilities: Perspectives and Challenges for the Western Balkans, IOS
Press, pp. 14-31, 2022.
11) A. Mangaonkar, A. Hayrapetian, and R. Raje, “Collaborative detection of cyberbullying behavior in Twitter data,” 2015, doi:
10.1109/EIT.2015.7293405.
12) A. Yadav and D. K. Vishwakarma, “Sentiment analysis using deep learning architectures: a review,” Artif. Intell. Rev., vol. 53, no. 6,
2020, doi: 10.1007/s10462-019-09794-5.
13) E. Wulczyn, N. Thain, and L. Dixon, “Ex machina: Personal attacks seen at scale,” 2017, doi: 10.1145/3038912.3052591.
14) I. H. Ting, W. S. Liou, D. Liberona, S. L. Wang, and G. M. T. Bermudez, “Towards the detection of cyberbullying based on social
network mining techniques,” in Proceedings of 4th International Conference on Behavioral, Economic, and SocioCultural
Computing, BESC 2017, 2017, vol. 2018-January, doi: 10.1109/BESC.2017.8256403.
15) J. Yadav, D. Kumar, and D. Chauhan, “Cyberbullying Detection using Pre-Trained BERT Model,” 2020, doi:
10.1109/ICESC48915.2020.9155700.
16) Z. Reynolds, A. Kontostathis, and L. Edwards, “Using machine learning to detect cyberbullying,” 2011, doi:
10.1109/ICMLA.2011.152.
17) M. Dadvar and K. Eckert, “Cyberbullying Detection in Social Networks Using Deep Learning Based Models; A Reproducibility
Study,” arXiv. 2018.
18) P. Galán-García, J. G. de la Puerta, C. L. Gómez, I. Santos, and P. G. Bringas, “Supervised machine learning for the detection of
troll profiles in twitter social network: Application to a real case of cyberbullying,” 2014, doi: 10.1007/978-3-319-01854-6_43.
19) R. Zhao, A. Zhou, and K. Mao, “Automatic detection of cyberbullying on social networks based on bullying features,” 2016, doi:
10.1145/2833312.2849567.
20) S. Agrawal and A. Awekar, “Deep learning for detecting cyberbullying across multiple social media platforms,” arXiv. 2018.
21) T. Davidson, D. Warmsley, M. Macy, and I. Weber, “Automated hate speech detection and the problem of offensive language,” 2017.
22) T. Mikolov, K. Chen, G. Corrado, and J. Dean, “Efficient estimation of word representations in vector space,” 2013.
23) V. Banerjee, J. Telavane, P. Gaikwad, and P. Vartak, “Detection of Cyberbullying Using Deep Neural Network,” 2019, doi:
10.1109/ICACCS.2019.8728378.
24) Y. N. Silva, C. Rich, and D. Hall, “BullyBlocker: Towards the identification of cyberbullying in social networking sites,” 2016, doi:
10.1109/ASONAM.2016.7752420.
25) Z. Waseem and D. Hovy, “Hateful Symbols or Hateful People? Predictive Features for Hate Speech Detection on Twitter,” 2016, doi:
10.18653/v1/n16-2013.