Author:
Panda Smriti,Rungta Oorja
Publisher
Springer International Publishing
Reference25 articles.
1. Eronen, J., Ptaszynski, M., Masui, F., Leliwa, G., Wroczynski, M., Piech, M., & Smywiński-Pohl, A. (2022). Initial study into application of feature density and linguistically-backed embedding to improve machine learning-based cyberbullying detection. https://doi.org/10.48550/arXiv.2206.01889
2. Thun, L. J., Teh, P., & Cheng, C.-B. (2021). CyberAid: Are your children safe from cyberbullying? Journal of King Saud University – Computer and Information Sciences, 34. https://doi.org/10.1016/j.jksuci.2021.03.001
3. López-Martínez, A., et al. (2019). CyberDect. A novel approach for cyberbullying detection on twitter. In International Conference on Technologies and Innovation. Springer.
4. Gomez, C. E., Sztainberg, M. O., & Trana, R. E. (2022). Curating cyberbullying datasets: A human-AI collaborative approach. International Journal of Bullying Prevention, 4(1), 35–46.
5. Deliri, S., & Albanese, M. (2015). Security and privacy issues in social networks. In Data management in pervasive systems (pp. 195–209). Springer.