Cognitive dissonance in digital era: Understanding user behavior and digital well-Being

Authors

  • Muhammad Habib Alwi Universitas Negeri Padang
  • Neviyarni Universitas Negeri Padang

DOI:

https://doi.org/10.62260/causalita.v3i4.594

Keywords:

Cognitive Dissonance, Digital Well-being, Digital Era

Abstract

The rapid development of digital technology has provided numerous benefits, yet it has also generated psychological challenges for users. In the digital context, cognitive dissonance occurs when there is a mismatch between individuals’ beliefs and their digital behaviors, which can potentially undermine digital well-being. This study aims to systematically review the relationship between cognitive dissonance and digital well-being through an analysis of 17 scholarly articles published between 2015 and 2025. A literature review method was employed. The findings indicate that cognitive dissonance emerges in various digital contexts, including unmet technological expectations, information overload, social polarization, and unhealthy patterns of social media use. Cognitive dissonance is shown to be associated with digital well-being through increased levels of stress, anxiety, guilt, and dissatisfaction with digital experiences. Furthermore, coping mechanisms adopted by users, such as selective exposure, avoidance, and rationalization, tend to alleviate short-term psychological tension but may exacerbate digital well-being issues in the long term. This review highlights the importance of a deeper understanding of the role of cognitive dissonance in digital behavior and underscores the need for further research on digital well-being.

References

Abeele, V. M. M. P. (2021). Digital Wellbeing as a Dynamic Construct. Communication Theory, 31(4), 932–955. https://doi.org/10.1093/ct/qtaa024

Al-Mansoori, R. S., Al-Thani, D., & Ali, R. (2023). Designing for Digital Wellbeing: From Theory to Practice a Scoping Review. Human Behavior and Emerging Technologies, 2023, 1–24. https://doi.org/10.1155/2023/9924029

Appanagari, R., Jahanikia, S., Singh, I., Sule, A., & Zhang, S. (2024). Behavioral plasticity in advanced technology adoption: A cognitive dissonance analysis (Preprint). Preprints. https://doi.org/10.20944/preprints202411.2282.v1

Asosiasi Penyelenggara Jasa Indonesia. (2024). Survei penetrasi internet indonesia. APJII

Auer, M., & Griffiths, M. D. (2017). Cognitive dissonance, personalized feedback, and online gambling behavior: An exploratory study using objective tracking data and subjective self-report. International Journal of Mental Health and Addiction, 16(3), 631–641. https://doi.org/10.1007/s11469-017-9808-1

Bai, J., Kong, Q., Li, L., & Wang, L. (2019). Exploring cognitive dissonance on social media. In Proceedings of the IEEE ISI 2019 (Shenzhen, China). IEEE. https://doi.org/10.1109/ISI.2019.8823262

Billieux, J. (2012). Problematic use of the mobile phone: A literature review and a pathways model. Current Psychiatry Reviews, 8(4), 299–307. https://doi.org/10.2174/157340012803520522

Bolia, B., Jha, S., & Jha, M. K. (2016). Cognitive dissonance: A review of causes and marketing implications. Journal of Arts, Science & Commerce, 7(2), 63-76. https://doi.org/10.18843/rwjasc/v7i2/06

Chatterjee, S., Chaudhuri, R., Kumar, A., Wang, C. L., & Gupta, S. (2023). Impacts of consumer cognitive process to ascertain online fake review: A cognitive dissonance theory approach. Journal of Business Research, 154, 113370. https://doi.org/10.1016/j.jbusres.2022.113370

Faisyal, Sudarmika, D., & Lestari, I. R. (2022). Realitas Sosial Smartphone dalam Interaksi Sosial Remaja. Oratio Directa, 4, 616–635.

Fajriah, T., & Ningsih, E. R. (2024). Pengaruh Teknologi Komunikasi terhadap Interaksi Sosial di Era Digital. Merdeka Indonesia Journal Internasional (MIJI), 4, 149–158 https://doi.org/10.5555/miji.v4i1.99

Festinger, L. (1957). Sebuah teori disonansi kognitif. Stanford University Press.

Figl, K., Kießling, S., Rank, C., & Vakulenko, S. (2019). Fake news flags, cognitive dissonance, and the believability of social media posts. In Proceedings of the International Conference on Information Systems (ICIS 2019), Munich, Germany. 1-9.

George, A. S., George, A. H., Baskar, T., & Karthikeyan, M. M. (2024). Reclaiming our minds: Mitigating the negative impacts of excessive doomscrolling. Zenodo. https://doi.org/10.5281/zenodo.13737987

Gui, M., Fasoli, M., & Carradore, R. (2017). “Digital well-being”: Developing a new theoretical tool for media literacy research. Italian Journal of Sociology of Education, 9(1), 155–173. https://doi.org/10.14658/pupj-ijse-2017-1-8

Gupta, N. (2024). A Review on Balancing the Benefits and Risks of Social Media for Young People’s Health. African Journal of Biomedical Research, 817–823. https://doi.org/10.53555/AJBR.v27i1S.1542

Harmon-Jones, E., Harmon-Jones, C., & Levy, N. (2015). An action-based model of cognitive dissonance processes. Current Directions in Psychological Science, 24(3), 184–189. https://doi.org/10.1177/0963721414566449

Hashemi, R., & Vogel, E. A. (2024). Adolescents’ perceptions of substance use messaging in the age of social media: Resolving cognitive dissonance. Health Education Research. Advance online publication. https://doi.org/10.1093/her/cyad046

Jeong, M., Zo, H., Lee, C. H., & Ceran, Y. (2019). Feeling displeasure from online social media postings: A study using cognitive dissonance theory. Computers in Human Behavior, 97, 231–240. https://doi.org/10.1016/j.chb.2019.02.021

Lythreatis, S., Singh, S. K., & El-Kassar, A.-N. (2022). The digital divide: A review and future research agenda. Technological Forecasting and Social Change, 175, 121359. https://doi.org/10.1016/j.techfore.2021.121359

Maple, C. (2017). Security and privacy in the internet of things. Journal of Cyber Policy, 2(2), 155–184. https://doi.org/10.1080/23738871.2017.1366536

Marikyan, D., Papagiannidis, S. & Alamanos, E (2023). Cognitive Dissonance in Technology Adoption: A Study of Smart Home Users. Inf Syst Front 25, 1101–1123 (2023). https://doi.org/10.1007/s10796-020-10042-3

Marikyan, D., Papagiannidis, S., & Alamanos, E. (2020). When technology does not meet expectations: A cognitive dissonance perspective. In Proceedings of the UK Academy for Information Systems Conference 2020 (Paper No. 15).

Mehta, A. (2024). Experience of discomfort due to information heterogeneity on Instagram: A study using cognitive dissonance theory. SSRN. https://doi.org/10.2139/ssrn.4874497

Meinarni, N. P. S., & Iswara, I. B. A. I. (2018). Hoax and its Mechanism in Indonesia. Proceedings of the International Conference of Communication Science Research (ICCSR 2018). https://doi.org/10.2991/iccsr-18.2018.39

Petrosyan, A. (2025, October 20). Jumlah pengguna internet dan media sosial di seluruh dunia pada tahun 2025. Statista. https://www.statista.com/statistics/617136/digital-population-worldwide/

Rawat, P. (2022). Cognitive dissonance in social media: The modern dilemma. Redshine Archive, 7(2), 356–364. https://doi.org/10.25215/9358797991

Roffarello, A. M., & De Russis, L. (2023). Achieving Digital Wellbeing Through Digital Self-control Tools: A Systematic Review and Meta-analysis. ACM Transactions on Computer-Human Interaction, 30(4), 1–66. https://doi.org/10.1145/3571810

Siregar, L. Y., & Nasution, M. I. P. (2020). Perkembangan Teknologi Informasi terhadap Peningkatan Bisnis Online. 2(1), 71–75. https://doi.org/10.30606/hjimb

Subagio, I. K. A., & Limbong, A. M. N. (2023). Dampak Teknologi Informasi dan Komunikasi terhadap Aktivitas Pendidikan. Journal of Learning and Technology, 2(1), 43–52. https://doi.org/10.33830/jlt.v2i1.5844

Sugiono, & Rahmawati, Y. M. (2023). Smartphone use intensity and stress impact on adolescent sleep quality: A correlation study. Akademi Terbuka, 8(2). https://doi.org/10.21070/acopen.8.2023.7270

Vaghefi, I., Qahri-Saremi, H., & Turel, O. (2020). Dealing with social networking site addiction: A cognitive-affective model of discontinuance decisions. Internet Research, 30(5). https://doi.org/10.1108/INTR-10-2019-0418

Wang, R., He, Y., Xu, J., & Zhang, H. (2020). Fake news or bad news? Toward an emotion-driven cognitive dissonance model of misinformation diffusion. Asian Journal of Communication. https://doi.org/10.1080/01292986.2020.1811737

Whitaker, R. M., Colombo, G. B., Turner, L. D., Dunham, Y., Doyle, D. K., Roy, E. M., & Giammanco, C. A. (2021). The coevolution of social networks and cognitive dissonance. IEEE Transactions on Computational Social Systems, PP(99), 1–18. https://doi.org/10.1109/TCSS.2021.3090833

Yahya, A. H., & Sukmayadi, V. (2020). A review of cognitive dissonance theory and its relevance to current social issues. Mimbar: Jurnal Sosial dan Pembangunan, 36(2), 480-488. https://doi.org/10.29313/mimbar.v36i2.6652

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Published

2026-03-24