1. Aggarwal, A., Maurya, K., Chaudhary, A.: Comparative study for predicting the severity of cyberbullying across multiple social media platforms. In: 2020 4th International Conference on Intelligent Computing and Control Systems (ICICCS), pp. 871–877 (2020)
2. Assimakopoulos, S., Muskat, R.V., van der Plas, L., Gatt, A.: Annotating for hate speech: the MaNeCo corpus and some input from critical discourse analysis. In: Proceedings of the 12th Language Resources and Evaluation Conference, pp. 5088–5097 (2020). https://www.aclweb.org/anthology/2020.lrec-1.626. Accessed 23 Sept 2020
3. Awal, Md.R., Cao, R., Lee, R.K.-W., Mitrović, S.: On analyzing annotation consistency in online abusive behavior datasets. arXiv:2006.13507 [cs] (2020). http://arxiv.org/abs/2006.13507. Accessed 10 Aug 2020
4. Basile, V., et al.: Semeval-2019 task 5: multilingual detection of hate speech against immigrants and women in twitter. In: Proceedings of the 13th International Workshop on Semantic Evaluation, pp. 54–63 (2019)
5. Beaujean, A.A.: Latent Variable Modeling Using R: A Step-by-Step Guide. Routledge, London (2014)