Hate Speech Detection on Indonesian Long Text Documents Using Machine Learning Approach

Author:

Aulia Nofa1,Budi Indra1

Affiliation:

1. Universitas Indonesia, Depok, Indonesia

Publisher

ACM Press

Reference16 articles.

1. Fortuna, P. and Nunes, S. 2018. A Survey on Automatic Detection of Hate Speech in Text. ACM Computing Surveys (CSUR). ACM, New York, NY, 19--33. DOI= http://doi.acm.org/10.1145/3232676.

2. Amnesty International. 2018. Amnesty International Report 2017/18. https://www.amnesty.org/download/Documents/POL1067002018ENGLISH.PDF.

3. Polri. 2015. Surat Edaran Kapolri tentang Penanganan Ujaran Kebencian (hate speech). (in Indonesian)

4. Zhang, Z. and Luo, L. 2018. Hate Speech Detection: A Solved Problem? The Challenging Case of Long Tail on Twitter. https://arxiv.org/abs/1803.03662.

5. Vigna, F. D., Cimino, A., Dell'Orletta, F., Petrocchi, M., and Tesconi, M. 2017. Hate Me, Hate Me Not: Hate Speech Detection on Facebook. In Proceedings of the First Italian Conference on Cybersecurity (ITASEC).

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