Analyzing Cyberbullying Negative Content on  Twitter Social Media with the RoBERTa Method

Muh. Akib A. Yani; Warih Maharani

doi:10.35877/454RI.jinav1543

Muh. Akib A. Yani Telkom University (ID)
Warih Maharani Telkom University (ID)

https://doi.org/10.35877/454RI.jinav1543

Keywords: social media, twitter, cyberbullying, RoBERTa

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Abstract

Social media is an online-based communication tool that can make it easier for users to interact among fellow users without any area and time restrictions. Indonesia has the highest number of social media users in the world. The Twitter social media platform is a place where users can pour out their whole hearts in the form of tweets. Free and diverse interactions on Twitter have a considerable influence on the psychological condition of its users. Cyberbullying or online bullying is an act of humiliating or hurting other people's feelings intentionally and repeatedly on social media, messages, or in other ways. In this study, the RoBERTa classification method was used to detect cyberbullying tweets with a best accuracy score of 86.9% and an f1-score of 77.5%.

References

Abdulloh, N., & Hidayatullah, A. F. (2019). Deteksi Cyberbullying pada Cuitan Media Sosial Twitter. Automata, Vol 1(1), 1–5.
Anggreini, N. M. (2016). Pemanfaatan Media Sosial Twitter di Kalangan Pelajar SMK Negeri 5 Samarinda. EJournal Sosiatri-Sosiologi, 4(2), 239–251.
Fadli, H., & Hidayatullah, A. (2021). Identifikasi Cyberbullying pada Media Sosial Twitter Menggunakan Metode LSTM dan BiLSTM. Universitas Islam Indonesia (UII), 2(No. 1), 1–6. https://journal.uii.ac.id/AUTOMATA/article/view/17364
Istiani, N., & Islamy, A. (2020). Pengaruh Media Sosial Terhadap Perubahan Sosial Masyarakat di Indonesia PENGARUH. Asy Syar’Iyyah: Jurnal Ilmu Syari’Ah Dan Perbankan Islam, 5(2), 202–225.
Ketsbaia, L., & Chen, X. (n.d.). Evaluation of Cyberbullying using Optimized Multi-Stage ML Framework and NLP.
Liu, Y., Ott, M., Goyal, N., Du, J., Joshi, M., Chen, D., Levy, O., Lewis, M., Zettlemoyer, L., & Stoyanov, V. (2019). RoBERTa: A Robustly Optimized BERT Pretraining Approach. http://arxiv.org/abs/1907.11692
Saravanaraj, A., Sheeba, J. I., & Devaneyan, S. P. (n.d.). Automatic Detection of Cyberbullying From Twitter. IRACST-International Journal of Computer Science and Information Technology & Security (IJCSITS), 6(6), 2249–9555. https://www.researchgate.net/publication/333320174
Singh, P., Singh, N., Singh, K. K., & Singh, A. (2021). Diagnosing of disease using machine learning. Machine Learning and the Internet of Medical Things in Healthcare, 89–111. https://doi.org/10.1016/B978-0-12-821229-5.00003-3
Toraman, C., Yilmaz, E. H., Şahinuç, F., & Ozcelik, O. (2022). Impact of Tokenization on Language Models: An Analysis for Turkish. http://arxiv.org/abs/2204.08832