Evaluasi Diagnostik Literasi Digital dan Resiliensi Kognitif Mahasiswa Ilmu Komunikasi

Authors

  • Suyono Universitas Pejuang Republik Indonesia
  • Janisa Pascawati Lande Universitas Pejuang Republik Indonesia
  • Andi Asy'hary J. Arsyad Universitas Pejuang Republik Indonesia
  • Rosmini Universitas Pejuang Republik Indonesia

DOI:

https://doi.org/10.57119/litdig.v4i1.194

Keywords:

Digital Literacy, Hoax Identification, Communication Education, IMDI, Cognitive Resilience

Abstract

This study evaluates the digital literacy profile and hoax identification accuracy among first-year communication students using the Indonesian Digital Society Index (IMDI) framework. Adopting an exploratory pilot study approach with a small sample (N=7), the research focuses on providing diagnostic insights for curriculum development in higher education. Data collection involved self-reported competence across ten IMDI indicators and a performance-based test using twelve randomized web contents. Findings reveal a significant disconnect between technical self-defense skills (privacy settings) and critical evaluation abilities (source verification). While students reported high confidence in managing digital privacy, they exhibited a 31% failure rate in detecting hoaxes, particularly those employing authority cues and emotional triggers. The analysis through Elaboration Likelihood Model (ELM) and Truth-Default Theory (TDT) suggests that students frequently rely on peripheral processing routes. This study underscores the urgent need for education interventions that shift focus from administrative digital skills to cognitive resilience.

Downloads

Download data is not yet available.

References

[1] D. Mulyana, Teori-Teori Komunikasi Aplikasi Praktis. Bandung: Simbiosa Rekatama Media, 2024.

[2] T. R. Levine, “Truth-Default Theory (TDT): A Theory of Human Deception and Deception Detection,” J. Lang. Soc. Psychol., vol. 33, no. 4, pp. 378–392, 2014, doi: 10.1177/0261927X14535916.

[3] A. A. J. Arsyad, U. Tamrin, and S. A. S. S., “Transformasi UMKM Melalui Pendampingan Keterampilan Literasi Digital,” KAREBA: Jurnal Ilmu Komunikasi, 2023.

[4] A. A. J. Arsyad and U. Tamrin, “Pemberdayaan Perempuan Pra Sejahtera: Meningkatkan Kapasitas UMKM" Nganre Sambal" dengan Literasi Digital,” Konferensi Nasional Literasi Digital dan Kerelawanan, vol. 1, pp. 99–112, 2023.

[5] D. Bawden, “Information and digital literacies: A review of concepts,” Journal of Documentation, vol. 57, no. 2, pp. 218–259, 2001, doi: 10.1108/EUM0000000007083.

[6] “Indeks Masyarakat Digital Indonesia.” [Online]. Available: https://imdi.sdmdigital.id/unduh-laporan/Publikasi Indeks Masyarak at Digital Indonesia%28IMDI%29

[7] J. Mcdougall, “Important, but complicated: Media and information literacy for digital citizenship,” no. 59, 2017.

[8] “Kementerian Komunikasi dan Digital.” [Online]. Available: https://www.komdigi.go.id/berita/siaran-pers/detail/komdigi-identifika si-1923-konten-hoaks-sepanjang-tahun-2024

[9] T. R. Levine, “Truth-Default Theory: Changing Our Understanding of Human Deception,” in Engaging Theories in Interpersonal Communication, 3rd ed., Routledge, 2021.

[10] T. R. Levine, “Truth-default theory and the psychology of lying and deception detecti on,” Curr. Opin. Psychol., vol. 47, p. 101380, 2022, doi: 10.1016/j.copsyc.2022.101380.

[11] M. T. Whitty and C. Ruddy, “COVID-19 lies and truths: Employing the Elaboration Likelihood Model ( ELM) and Linguistic Inquiry and Word Count (LIWC) to gain insights int o the persuasive techniques evident in disinformation (fake news),” Computers in Human Behavior Reports, vol. 20, p. 100797, 2025, doi: 10.1016/j.chbr.2025.100797.

[12] T. Green, T. Wilhelmsen, E. Wilmots, B. Dodd, and S. Quinn, “Social anxiety, attributes of online communication and self-disclosure across private and public Facebook communication,” Comput. Human Behav., vol. 58, pp. 206–213, 2016, doi: 10.1016/j.chb.2015.12.066.

[13] D. D. Clare and T. R. Levine, “Documenting the Truth-Default: The Low Frequency of Spontaneous Unprom pted Veracity Assessments in Deception Detection,” Hum. Commun. Res., vol. 45, no. 3, pp. 286–308, 2019, doi: 10.1093/hcr/hqz001.

[14] B. A. Lyons, J. M. Montgomery, A. M. Guess, B. Nyhan, and J. Reifler, “Overconfidence in news judgments is associated with false news suscept ibility,” Proceedings of the National Academy of Sciences, vol. 118, no. 23, p. e2019527118, 2021, doi: 10.1073/pnas.2019527118.

[15] R. X. Peng and F. Shen, “Why fall for misinformation? Role of information processing strategies , health consciousness, and overconfidence in health literacy,” J. Health Psychol., vol. 30, no. 8, pp. 2030–2045, 2025, doi: 10.1177/13591053241273647.

[16] D. N. Rapp and M. M. Withall, “Confidence as a metacognitive contributor to and consequence of misinf ormation experiences,” Curr. Opin. Psychol., vol. 55, p. 101735, 2024, doi: 10.1016/j.copsyc.2023.101735.

[17] C. Skurka, Z. Cheng, M. Goyanes, and H. Gil de Zúñiga, “News Finds Me as the illusion of competence: evidence for overconfiden ce in discernment of political misinformation,” Hum. Commun. Res., vol. 52, no. 1, pp. 11–23, 2026, doi: 10.1093/hcr/hqaf015.

[18] J. Creswell and L. Clark, Research: Quantitative, qualitative and mixed methods approach. Thousand Oaks: Sage, 2011.

[19] J. Kim, “Pilot Study,” The SAGE Encyclopedia of Communication Research Methods, pp. 1254–1255, Jul. 2017, doi: 10.4135/9781483381411.

[20] Sugiyono, Metode Penelitian Pendidikan: (Pendekatan Kuantitatif, Kualitatif dan R & D). Alfa Beta, 2019.

Downloads

Published

2026-01-30

How to Cite

Suyono, S., Lande, J. P., J. Arsyad, A. A., & Rosmini, R. (2026). Evaluasi Diagnostik Literasi Digital dan Resiliensi Kognitif Mahasiswa Ilmu Komunikasi. Journal of Digital Literacy and Volunteering, 4(1), 20–29. https://doi.org/10.57119/litdig.v4i1.194

Issue

Section

Articles

Similar Articles

<< < 1 2 

You may also start an advanced similarity search for this article.