Online Disinhibition Effect Among Early Adult Social Media Users

Authors

  • Rayhan Abi Mulya Universitas Gunadarma, Indonesia
  • Desi Susianti Universitas Gunadarma, Indonesia

DOI:

https://doi.org/10.56127/jukeke.v5i1.2577

Keywords:

Online Disinhibition Effect, Early Adults; Social Media, Anonymity, Digital Behavior

Abstract

Social media has become a major space for sharing content and opinions. In online settings, individuals may show behaviors they would usually inhibit in face-to-face interactions, known as the online disinhibition effect. Understanding this tendency among early adults is important because this group is highly active on social media and may be exposed to both constructive and harmful digital interactions. Objective: This study aims to describe the characteristics and level of the online disinhibition effect among early adult social media users. Methods: A quantitative descriptive design was used with 111 early adults (20–40 years; males and females) recruited through non-probability incidental sampling. Data were collected via an online questionnaire (Google Forms) using an adapted Online Disinhibition Scale based on Suler’s dimensions, complemented by demographic items (gender, age, daily duration of use) and two open-ended questions. The instrument was evaluated for validity, item discrimination, and reliability. Data were analyzed using descriptive statistics and frequency-based categorization for open-ended responses. Results: The online disinhibition effect was categorized as high (empirical mean = 85.50; hypothetical mean = 73.50). Male participants showed higher disinhibition than female participants. Higher disinhibition was also observed among participants who used social media longer each day, especially those reporting more than six hours of use. Open-ended responses indicated that anonymity and the absence of face-to-face interaction were common reasons for feeling freer online, and hostile commenting was frequently reported as an activity more comfortably performed on social media than in real life. Implications: Findings support the need for digital well-being efforts targeting early adults, including self-regulation strategies (e.g., screen-time limits, reflection-before-post routines) and digital civility education, alongside platform-level measures that strengthen accountability cues. Originality: This study provides a descriptive baseline of online disinhibition among Indonesian early adults using a psychometrically screened measure and triangulates findings with open-ended evidence linked to key theoretical dimensions.

References

APJII. (2024). Survey pengguna internet Indonesia. Asosiasi Penyelenggara Jasa Internet Indonesia (APJII). https://apjii.or.id/

Cheung, C. M. K., Wong, R. Y. M., & Chan, T. K. H. (2020). Online disinhibition: Conceptualization, measurement, and implications for online deviant behavior. Industrial Management & Data Systems, 121(1), 48–64. https://doi.org/10.1108/IMDS-08-2020-0509

Kemp, S. (2024). Digital 2024: Indonesia. We Are Social. https://wearesocial.com/id/blog/2024/01/digital-2024/

Keipi, T., Näsi, M., Oksanen, A., & Räsänen, P. (2016). Online hate and harmful content: Cross-national perspectives. Routledge. https://doi.org/10.4324/9781315628370

Knežević, L. J., Topalov, J. P., & Halupka Rešetar, S. J. (2022). Students’ disinhibition in online communication and the implications for foreign language pedagogy. Collection of Papers of the Faculty of Philosophy, 52(3), 39–54. https://doi.org/10.5937/zrffp52-36824

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), 434–443. https://doi.org/10.1016/j.chb.2011.10.014

Noor, M. (2024). Perkembangan sosial media di Indonesia: Transformasi budaya digital. RRI. (Diakses 30 Januari 2026). https://rri.co.id/iptek/728903/perkembangan-sosial-media-di-indonesia-transformasi-budaya-digital

Pangayuninggalih, S. A., & Helmi, A. F. (2023). Unveiling online self-disclosure: A comparative study of adolescents and young adults in the digital age. Intuisi: Jurnal Psikologi Ilmiah, 15(1), 16–31. https://doi.org/10.15294/intuisi.v15i1.38986

Scott, R. A., Stuart, J., & Barber, B. L. (2022). What predicts online disinhibition? Examining perceptions of protection and control online and the moderating role of social anxiety. Cyberpsychology, Behavior, and Social Networking, 25(5), 294–300. https://doi.org/10.1089/cyber.2021.0250

Stuart, J., & Scott, R. A. (2021). The Measure of Online Disinhibition (MOD): Assessing perceptions of reductions in restraint in the online environment. Computers in Human Behavior, 114, 106534. https://doi.org/10.1016/j.chb.2020.106534

Suler, J. (2004). The online disinhibition effect. Cyberpsychology & Behavior, 7(3), 321–326. https://doi.org/10.1089/1094931041291295

Zakiah, E., & Iswari, R. D. (2022). The role of online disinhibition towards cyberbullying on second-account users on Instagram. Journal of Health and Behavioral Science, 4(4), 593–601. https://doi.org/10.35508/jhbs.v4i4.8695

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Published

2026-02-06

How to Cite

Rayhan Abi Mulya, & Desi Susianti. (2026). Online Disinhibition Effect Among Early Adult Social Media Users. Jurnal Kesehatan Dan Kedokteran, 5(1), 312–323. https://doi.org/10.56127/jukeke.v5i1.2577

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