THE EFFECT OF SELF CONTROL ON THE TOXIC ONLINE DISINHIBITION EFFECT AMONG GENERATION Z USERS OF APPLICATION X

Authors

  • Alya Khairani Universitas Negeri Padang
  • Anindra Guspa Universitas Negeri Padang

DOI:

https://doi.org/10.62260/causalita.v3i1.525

Keywords:

application X, toxic online disinhibition effect, generation Z, self control

Abstract

The toxic online disinhibition effect refers to the negative tendency of the online disinhibition phenomenon, where individuals behave in ways inconsistent with their offline persona while interacting online. Generation Z, known for their high engagement with the internet and social media averaging more than four hours of daily use is particularly vulnerable to diminished self control in online interactions. This study aims to examine the extent to which self control influences the toxic online disinhibition effect among generation Z users of application X. Self control is considered a key predictor of toxic online disinhibition. This correlational quantitative study involved 478 active Gen Z users of application X. The variables were measured using two instruments: The Indonesian version of The Brief Self-Control Scale (adapted from De Ridder et al., 2011, by Arifin & Milla, 2020) and The Online Disinhibition Scale-Toxic (ODS-T), developed by Udris (2014) based on Suler’s (2004) concept and adapted into Indonesian by Kiswantomo et al. (2022). Data analysis revealed a significant negative effect of self control on toxic online disinhibition, accounting for 3.4% of the variance (R²). Higher self control was associated with lower levels of toxic online disinhibition, and vice versa. These findings highlight the importance of fostering self control as a strategy to promote safer and healthier digital interactions, particularly among younger generations such as Gen Z.

References

Akhdisholikhah, R. (2022). Faktor-faktor disinhibisi daring toksik pada pengguna media sosial dewasa. [Thesis, Universitas Gadjah Mada]. https://etd.repository.ugm.ac.id/penelitian/detail/218104

Arifin, H. H., & Milla, M. N. (2020). Adaptasi dan properti psikometrik skala kontrol diri ringkas versi Indonesia. Jurnal Psikologi Sosial, 18(2), 179-195. DOI: 10.7454/jps.2020.18

Arum, L. S., Zahrani, A., & Duha, N. A. (2023). Karakteristik Generasi Z dan Kesiapannya dalam Menghadapi Bonus Demografi 2030. Accounting Student Research Journal, 2(1), 59-72. DOI: 10.62108/asrj.v2i1.5812

Asosiasi Penyelenggara Jasa Internet Indonesia. (2024, February 07). APJII Jumlah Pengguna Internet Indonesia Tembus 221 Juta Orang. https://apjii.or.id/berita/d/apjii-jumlah-pengguna-internet-indonesia-tembus-221-juta-orang

Azzahra, F. K., Muti’ah, T., & Budiarto, S. (2022). Kontrol Diri dalam Media Sosial Ditinjau dari Etika Digital. Jurnal Spirits, 12(2), 72-77. DOI: 10.30738/spirits.v12i2.12812

Badri, M. (2022). Pribumi Digital Moderat: Profil Kecakapan Komunikasi Digital Generasi Z. Jurnal Riset Komunikasi, 5(2), 291-303. DOI: 10.38194/jurkom.v5i2.653

Bulan, M. A. I. C., & Wulandari, P. Y. (2021). Pengaruh Kontrol Diri Terhadap Kecenderungan Perilaku Cyberbullying Pada Remaja Pengguna Media Sosial Anonim. Buletin Riset Psikologi dan Kesehatan Mental (BRPKM), 1(1), 497-507. DOI: 10.20473/brpkm.v1i1.25127

Cheung, C. M. K., Wong, R. Y. M., & Chan, T. K. H. (2016). Online Disinhibition: Conceptualization, Measurement, and Relation to Aggressive Behaviors. In Thirty Seventh International Conference on Information Systems (1-10).

Dewi, S., Ristianti, I. W., & Widiani, S. (2022). Generasi Z dalam Memanfaatkan Media Sosial. Kaisa: Jurnal Pendidikan dan Pembelajaran, 2(1), 1-9. DOI: 10.56633/kaisa.v2i1.497

Dimock, M. (2019, January 17). Defining generations: Where Millenials end and Generation Z begins. Pew Research Center. https://www.pewresearch.org/short-reads/2019/01/17/where-millennials-end-and-generation-z-begins/

Febriana S K T., & Fajrianthi. (2019). Cyber Incivility Perpetrator: The Influenced of Dissociative Anonimity, Invisibility, Asychronicity, and Dissociative Imagination. Journal of Physics: Conference Series, 1-8. DOI: 10.1088/1742-6596/1175/1/012238

Karima, A. (2019). Toxic online disinhibition: Sebuah studi literatur terkait faktor-faktor yang mempengaruhi, perilaku yang didorong, dan strategi yang menangani dampaknya. [Makalah Non-Seminar]. Departemen Ilmu Komunikasi, Universitas Indonesia. https://lib.ui.ac.id/detail?id=20499139&lokasi=lokal

Kartini., Harahap, I. A., Arwana, N. Y., & Rambe, S. W. T. Br. (2020). Teori dalam Penelitian Media. Jurnal Edukasi Nonformal, 3(2), 136-140.

Kiswantomo, H., Rahmani, K., & Aliifah, D. N. (2022). Subjective well-being sebagai prediktor online disinhibition effect pada mahasiswa. Jurnal Psikologi, 15(2), 269-283. DOI: 10.35760/psi.2022.v15i2.6249

Lapidot-Lefler, N., & Barak, A. (2012). Effects of anonymity, invisibility, and lack of eye-contact on toxic online disinhibition. Computers in Human Behavior, 28(2), 434-444. DOI: 10.1016/j.chb.2011.10.014

Lee, Young-Joo. (2019). The Effect of Self-Control and Parenting Attitude on Cyberbullying: Focus on Mediating Cyber Ethics. Medico-legal Update, 19(2), 596-601. DOI: 10.5958/0974-1283.2019.00241.X

Mantara, A. Y., Sa’id, M., Zahra, G. A., Rizkina, A. T., Febriyanti, L., & Prastika, S. B. (2023). Adaptation of the Online Disinhibition Effect Scale. KnE Social Sciences, 317-323. DOI: 10.18502/kss.v8i19.14381

Muhamad, N. (2024, January 01). Mayoritas Anak Muda Indonesia Gunakan Internet untuk Media Sosial. databoks. https://databoks.katadata.co.id/datapublish/2024/01/11/mayoritas-anak-muda-indonesia-gunakan-internet-untuk-media-sosial

Naibaho, F., Agustina, V. F., & Wijayani, M. R. (2023). Pengaruh Kontrol Diri terhadap Perilaku Disinhibition Online Effect di Komunitas Gereja Santo Nikodemus Ciputat. AFEKSI Jurnal Psikologi, Filsafat dan Saintek, 2(2), 106-113. DOI: 10.572349/afeksi.v2i2.1082

Nanda, S. (2024, October 28). Mengenal Gen Z, Generasi yang Dianggap Manja. BRAIN ACADEMY By Ruangguru. https://www.brainacademy.id/blog/gen-z

Nugraha, R. G., Rahmani, K., Indrianie, E., & Aliifah, D. N. (2022). Hubungan antara Self-Concept dan Toxic Disinhibition Online Effect pada Mahasiswa yang Menggunakan Media Sosial Instagram. Humanitas, 6(1), 37-48. DOI: 10.28932/humanitas.v6i1.4187

Nugraha, R. G., Rahmani, K., Kiswantomo, H., Aliifah, D. N., & Pusti, A. R. (2023). Hubungan antara Self-Control dan Toxic Disinhibition Online Effect pada Mahasiswa yang Menggunakan Media Sosial. Humanitas, 7(2), 259-272. DOI: 10.28932/humanitas.v7i2.5661

Nurbaiti., & Alfarisyi, M. F. (2023). Sejarah Internet di Indonesia. Jurnal Ilmu Komputer, Ekonomi dan Manajemen (JIKEM), 3(2), 2336-2344.

Ramadhani, A. Z., & Merida, S. C. (2024). Self-Control and the Phenomenon of Toxic Online Disinhibition in Teenagers Who Have Twitter. Nusantara Journal of Behavioral and Social Science, 3(2), 45-52. DOI: 10.47679/202454

Rizqi, M. (2024, February 28). Mengungkap Misteri Generasi Z: Fakta-Fakta Menarik Tentang Gen Z. UNESA. https://terapan-administrasi.vokasi.unesa.ac.id/post/mengungkap-misteri-generasi-z-fakta-fakta-menarik-tentang-gen-z

Shadiqi, M. A. (2024). Statistik untuk penelitian psikologi dengan SPSS. RAJAWALI PERS.

Stuart, J., & Scott, R. (2021). The Measure of Online Disinhibition (MOD): Assessing perceptions of reductions in restraint in the online environment. Computers in Human Behavior, 114, 1-11. DOI: 10.1016/j.chb.2020.106534

Suler, J. (2004). The Online Disinhibition Effect. CYBERPSYCHOLOGY & BEHAVIOR, 7(3), 321-326. DOI: 10.1089/1094931041291295

Sumanti, A., & Afdal. (2023). Examining the Impact of Phubbing Behaviors on Toxic Disinhibition in Online Social Interactions. Journal of Educational, Health and Community Psychology, 12(3), 618-635.

Tangney, J. P., Baumeister, R. F., & Boone, A. L. (2004). High Self-Control Predicts Good Adjustment, Less Pathology, Better Grades, and Interpersonal Success. Journal of Personality, 72(2), 271-322. DOI: 10.1111/j.0022-3506.2004.00263.x

Teniwut, M. (2023, Maret 03). Istilah dalam Dunia Twitter dan Artinya. MEDIA INDONESIA. https://mediaindonesia.com/teknologi/562841/istilah-dalam-dunia-twitter-dan-artinya

Tirtana, A. (2022, June 14). Twitter Jadi Media Sosial Paling Toxic. VALIDNEWS.id. https://validnews.id/kultura/twitter-jadi-media-sosial-paling-toxic#

Udris, R. (2014). Cyberbullying among high school students in Japan: Development and validation of the Online Disinhibition Scale. Computers in Human Behavior, 41, 253-261. DOI: 10.1016/j.chb.2014.09.036

Voggeser, B. J., Singh, R. K., & Göritz, A. S. (2018). Self-control in Online Discussions: Disinhibited Online Behavior as a Failure to Recognize Social Cues. Frontiers in Psychology, 8, 1-11. DOI: 10.3389/fpsyg.2017.02372

Wachs, S., & Wright M. F. (2018). Associations between Bystanders and Perpetrators of Online Hate: The Moderating Role of Toxic Online Disinhibition. International Journal of Environmental Research and Public Health, 15(2030), 1-9. DOI: 10.3390/ijerph15092030

Wachs, S., & Wright, M. F. (2019). The Moderation of Online Disinhibition and Sex on the Relationship Between Online Hate Victimization and Perpetration. CYBERPSYCHOLOGY, BEHAVIOR, AND SOCIAL NETWORKING, 00(00), 1-7. DOI: 10.1089/cyber.2018.0551

Winarsunu, T. (2009). Statistik dalam penelitian psikologi pendidikan (cetakan keempat). UMM Press.

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Published

2025-10-09