skip to main content

Analysis Of Generation Z’s Discontinuance From Facebook: A Theory Of Planned Behavior Perspective

*Febri Nurrahmi orcid scopus  -  Department of Communication, Universitas Syiah Kuala, Jln. Tgk. Tanoh Abee, Darussalam, Banda Aceh, 23111, Indonesia., Indonesia
Tanzir Masykar  -  Akademi Komunitas Negeri Aceh Barat, Indonesia
Received: 1 Dec 2024; Published: 30 Jun 2026.
Editor(s): Nurul Hasfi, Pawito Pawito, Billy Sarwono, Hapsari Sulistyani
Open Access Copyright (c) 2026 Interaksi: Jurnal Ilmu Komunikasi under https://creativecommons.org/licenses/by-sa/4.0/.

Citation Format:
Abstract
Facebook has experienced a shift in usage among Generation Z. Using the Theory of Planned Behavior, this study aims to explain how attitudes, subjective norms, and perceived behavioral control influence Generation Z's discontinuance of Facebook use. Data were collected through structured interviews with 15 undergraduate students at Universitas Syiah Kuala who had previously used Facebook actively. The findings reveal that attitudes toward Facebook and subjective norms are the primary factors driving informants to leave the platform. Negative attitudes emerge from concerns over the widespread circulation of hoaxes and the perception that Facebook is dominated by older users with lower levels of media literacy. Subjective norms further reinforce this discontinuance, as peer migration to alternative social media platforms shapes individual decisions. While perceived behavioral control plays a less dominant role, it still contributes to discontinuance, particularly among users who feel limited in navigating Facebook’s features and verifying information accuracy. These results highlight important implications for understanding the evolving dynamics of social media use and suggest that changing social environments and peer influence significantly shape platform abandonment among younger audiences. In conclusion, the study demonstrates that discontinuance of Facebook use is primarily socially and attitudinally driven rather than technologically constrained.
Keywords: Discontinuance; Facebook; Generation Z; Theory of Planned Behavior

Article Metrics:

  1. Ajzen, I. (1991). The theory of planned behavior. Organizational Behavior and Human Decision Processes, 50(2), 179-211. https://doi.org/10.1016/0749-5978(91)90020-t
  2. Ajzen, I. (2005). Attitudes, personality and behaviour. Open University Press
  3. Ajzen, I. (2012a). Martin Fishbein’s legacy: The reasoned action approach. The Annals of the American Academy of Political and Social Science, 640(1), 11-27. https://doi.org/10.1177/0002716211432610
  4. Ajzen, I. (2012b). The theory of planned behavior. In P. A. Van Lange, E. T. Higgins, & A. W. Kruglanski (Eds.), Handbook of theories of social psychology (pp. 438-459). Sage Publications Ltd. https://doi.org/10.4135/9781446249215.n22
  5. Alhabash, S., & Ma, M. (2017). A tale of four platforms: Motivations and uses of Facebook, Twitter, Instagram, and Snapchat among college students? Social Media + Society, 3(1), 1-13. https://doi.org/10.1177/2056305117691544
  6. APJII. (2024). Survei penetrasi internet Indonesia
  7. Douglass, R. B., & Ajzen, I. (1975). Belief, attitude, intention, and behavior: An introduction to theory and research. MA: Addison-Wesley
  8. Duong, C. (2024). ChatGPT adoption and digital entrepreneurial intentions: An empirical research based on the theory of planned behaviour. Entrepreneurial Business and Economics Review, 12(2), 129-142. https://doi.org/10.15678/EBER.2024.120208
  9. Falgoust, G., Winterlind, E., Moon, P., Parker, A., Zinzow, H., & Madathil, K. C. (2022). Applying the uses and gratifications theory to identify motivational factors behind young adult's participation in viral social media challenges on TikTok. Human Factors in Healthcare, 2. https://doi.org/10.1016/j.hfh.2022.100014
  10. Huberman, M., Huberman, A., & Saldaña, J. (2014). Qualitative data analysis: A methods sourcebook. Sage
  11. Ilhami, H., & Sudradjat, R. H. (2024). Pengaruh Konten Media Sosial Instagram@ Internship_ddbtelkom Terhadap Pemenuhan Kebutuhan Informasi Mahasiswa di Kota Bandung. Jurnal Interaksi: Jurnal Ilmu Komunikasi, 8(1), 1-10. https://doi.org/10.30596/ji.v8i1.13704
  12. Jusoh, N. M., & Ishak, B. I. (2018). Digital games acceptance in Malaysia. In F. Saeed, N. Gazem, S. Patnaik, A. S. Balaid, & F. Mohammed (Eds.), Recent trends in information and communication technology (pp. 1-13). Springer. https://doi.org/10.1007/978-3-319-59427-9_81
  13. Kusyanti, A., Catherina, H. P. A., Puspitasari, D. R., & Sari, Y. A. L. (2018). Teen’s social media adoption: An empirical investigation in Indonesia. International Journal of Advanced Computer Science and Applications, 9(2). https://api.semanticscholar.org/CorpusID:38147939
  14. Lubis, L. F. (2020). Perspektif Mahasiswa Tentang Berita Hoaks di Media Sosial Facebook Studi pada Mahasiswa Jurusan PPKn FIS Unimed [Undegraduate Thesis, Universitas Negeri Medan]
  15. Maulana, F., Trihatmojo, A., & Pratama, R. R. (2021). Pengaruh Penggunaan Fitur Instagram Stories terhadap Kepuasan Mendapatkan Informasi pada Fans Klub Sepakbola Liverpool (Big Reds) Jakarta. Jurnal Khatulistiwa Informatika, 12(1), 57-66. https://doi.org/10.31294/jkom.v12i1.10060
  16. Moleong, L. J. (2007). Metodologi penelitian kualitatif edisi revisi. PT Remaja Rosdakarya
  17. Nurrahmi, F. (2018). Self Disclosure of Aceh Facebook-Addicted Users. International Conference of Communication Science Research (ICCSR 2018),
  18. Nurrahmi, F., & Syam, H. M. (2020). Perilaku informasi mahasiswa dan hoaks di media sosial. Communicatus: Jurnal Ilmu Komunikasi, 4(2), 129-146. https://doi.org/10.15575/cjik.v4i2.9215
  19. Perdana, D. D., Widiayanti, W., & Gushevinalti, G. (2024). Fenomena Fear of Missing Out (FOMO) Pada Generasi Z Pengguna Media Sosial Instagram. SOURCE: Jurnal Ilmu Komunikasi, 10(1), 54-64. https://doi.org/10.35308/source.v10i1.8381
  20. Phua, J., Jin, S. V., & Kim, J. J. (2017). Gratifications of using Facebook, Twitter, Instagram, or Snapchat to follow brands: The moderating effect of social comparison, trust, tie strength, and network homophily on brand identification, brand engagement, brand commitment, and membership intention. Telematics and Informatics, 34(1), 412-424. https://doi.org/10.1016/j.tele.2016.06.004
  21. Rogers, E. M. (2003). Diffusion of innovations (5th ed.). New York : Free Press
  22. Rukhsar., Yameen, M., & Khanam, Z. (2024). Understanding the consumer purchase behaviour towards green electronic products: using insight from the theory of planned behaviour. IIM Ranchi Journal of Management Studies. https://doi.org/10.1108/IRJMS-01-2024-0002
  23. Sin, C., & Rochelle, T. (2022). Using the theory of planned behaviour to explain hand hygiene among nurses in Hong Kong during COVID-19. Journal of Hospital Infection, 123, 119-125. https://doi.org/10.1016/j.jhin.2022.01.018
  24. Statista. (2024). Countries with the largest digital populations in the world as of January 2023. Retrieved November 3 from https://www.statista.com/statistics/262966/number-of-internet-users-in-selected-countries/
  25. Sugiyono, D. (2010). Metode penelitian kuatintatif, kualitatif dan R & D
  26. Tulgan, B. (2013). Meet Generation Z: The second generation within the giant" Millennial" cohort
  27. Rainmaker Thinking, 125(1), 1-13
  28. Whiting, A., & Williams, D. (2013). Why people use social media: a uses and gratifications approach. Qualitative market research, 16(4), 362-369. https://doi.org/10.1108/QMR-06-2013-0041

Last update:

No citation recorded.

Last update: 2026-07-01 08:49:19

No citation recorded.