Criminal Law Enforcement for Perpetrators of Hate Speech on Social Media

Emiel Salim Siregar, Dicky Abdillah, Mirza Syapiq, Apriola Dwi Indraswary, M. Irvansyah

Abstract


Social media is part of the needs of the Indonesian people that cannot be separated again in line with the times. All public behavior, including social media, is regulated by law. Many people abuse social media to use hate speech in cyberspace, without realizing that their actions are illegal. The purpose of this study is to determine criminal liability for hate speech actors on social media. This study uses empirical legal research methods in which the law looks at social phenomena in the community to find solutions to existing legal problems then linked to laws and regulations. The results of the study found that many Indonesian people use social media to use hate speech. It happens because they do not understand the existing law. However, mistakes and omissions are individuals’ responsibility as legal subjects. Suggestions that can be submitted are reforming the ITE law, socialization to the public by law enforcement related to education and law enforcement and the community itself should be smarter in using social media.


Keywords


social media; hate speech; criminal liability

Full Text:

PDF

References


Asmadi, E. (2021). Pencemaran Nama Baik di Media Sosial, Delik Biasa atau Aduan? DELEGA LATA: Jurnal Ilmu Hukum, 6(4), 16–32. http://jurnal.umsu.ac.id/index.php/delegalata

Azhar, A. F., & Soponyono, E. (2020). Kebijakan Hukum Pidana dalam Pengaturan dan Penanggulangan Ujaran Kebencian (Hate Speech) di Media Sosial. Jurnal Pembangunan Hukum Indonesia, 2(2), 275–290. https://doi.org/10.14710/jphi.v2i2.275-290

Bright, D., Brewer, R., & Morselli, C. (2021). Using social network analysis to study crime: Navigating the challenges of criminal justice records. Social Networks, 66(October 2020), 50–64. https://doi.org/10.1016/j.socnet.2021.01.006

Bright, D., Brewer, R., & Morselli, C. (2022). Reprint of: Using social network analysis to study crime: Navigating the challenges of criminal justice records. Social Networks, 69(January), 235–250. https://doi.org/10.1016/j.socnet.2022.01.008

Disantara, F. P., Chansrakaeo, R., & Jazuli, M. (2022). The Enigma of Ethics : Code of Ethics Enforcement on Covid-19 Health Protocol in the Mechanism of Regional Head General Election in Indonesia. 7, 1–21.

Drury, B., Drury, S. M., Rahman, M. A., & Ullah, I. (2022). A social network of crime: A review of the use of social networks for crime and the detection of crime. Online Social Networks and Media, 30(May), 100211. https://doi.org/10.1016/j.osnem.2022.100211

Erwin Asmadi, Adi Selamat, P., Asdhie Kodiyat, B., Koto, I., & Asmadi, E. (2022). Efektivitas Pemanfaatan Teknologi Informasi Dalam Persidangan Perkara Pidana Selama Pandemi Covid-19. DE LEGA LATA: Jurnal Ilmu Hukum, 6(2), 465–475. https://doi.org/10.30596/delegalata.v6i2.5057

Febriansyah, F. I., & Purwinarto, H. S. (2020). Pertanggungjawaban Pidana Bagi Pelaku Ujaran Kebencian di Media Sosial. Jurnal Penelitian Hukum De Jure, 20(2), 177. https://doi.org/10.30641/dejure.2020.v20.177-188

Goodall, K. (2013). Conceptualising ‘racism’ in criminal law. Legal Studies, 33(2), 215–238. https://doi.org/10.1111/j.1748-121X.2012.00244.x

Ismail, et al. (2019). The Community Perceptions of Poverty in Gampong Ayon, Seulimeum Sub-district, Aceh Besar Regency (Research Results on March 2017). Budapest International Research and Critics Institute-Journal (BIRCI-Journal). P. 270-275.

Jacobs, J. B., & Henry, J. S. (1996). The social construction of a hate crime epidemic. Journal of Criminal Law and Criminology, 86(2), 366. https://doi.org/10.2307/1144030

Lidén, M. (2020). Emotions and Cognition in International Criminal Justice: An Exploration from Cognitive Biases to Emotional Intelligence. Forensic Science International: Mind and Law, 1(September), 1–10. https://doi.org/10.1016/j.fsiml.2020.100037

Supanto. (2016). Perkembangan Kejahatan Teknologi Informasi (Cyber Crime) Dan Antisipasinya Dengan Penal Policy. Yustisia Jurnal Hukum, 5(1), 52–70.

Varela, N., Valega, J. A. G., & Lezama, O. B. P. (2020). Analysis of behavior of automatic learning algorithms to identify criminal messages. Procedia Computer Science, 175, 114–119. https://doi.org/10.1016/j.procs.2020.07.019




DOI: https://doi.org/10.33258/birci.v5i3.5820

Article Metrics

Abstract view : 47 times
PDF - 38 times

Refbacks

  • There are currently no refbacks.


Creative Commons License
This work is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.

 

Creative Commons License
This work is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.