Author:
Naganjaneyulu Satuluri,Tarun G.,Sriram Y.,Rama Devi B.,Manoj P.
Publisher
Springer Nature Singapore
Reference7 articles.
1. Alatawi HS, Alhothali AM, Moria KM (2020) Detecting white supremacist hate speech using domain specific word embedding with deep learning and BERT. arXiv:2010.00357. [Online]. Available: http://arxiv.org/abs/2010.00357
2. PyTorch Documentation (2020) Embedding Layer PyTorch. Accessed: 10 Oct 2020 [Online]. Available: https://pytorch.org/docs/stable/generated/torch.nn.Embedding.html
3. Chatfield AT, Reddick CG, Brajawidagda U (2015) Tweeting propaganda, radicalization and recruitment: Islamic state supporters multisided Twitter networks. In: Proceedings of 16th annual international conference on digital government research, May 2015, pp 239–249. https://doi.org/10.1145/2757401.2757408
4. Berger JM (2016) Nazis vs. ISIS on Twitter: A comparative study of white nationalist and ISIS online socialmedia networks. George Washington University, Washington, DC, USA, Technical Report, 2016 [Online]. Available: https://extremism.gwu.edu/sites/g/_les/zaxdzs2191/f/downloads/Nazisv.ISIS.pdf
5. Lara-Cabrera R, Pardo AG, Benouaret K, Faci N, Benslimane D, Camacho D (2017) Measuring the radicalisation risk in social networks. IEEE Access 5:10892–10900. https://doi.org/10.1109/ACCESS.2017.2706018