PENGARUH PAPARAN VIDEO AI TOKOH PUBLIK TERHADAP TINGKAT KEPERCAYAAN MAHASISWA PADA ISI PESAN MEDIA
Keywords:
AI generated video, cultivation theory, deepfake, media trust, source credibility
Abstract
The rapid development of artificial intelligence (AI) has brought forth deepfake technology, which poses a serious threat to the digital information ecosystem. This study examines the influence of exposure to AI-generated videos of public figures on students' level of trust in media message content. In this study, the level of trust is operationalized as the level of skepticism, where a high score indicates high skepticism. Grounded in Source Credibility Theory and Cultivation Theory, this research employs a quantitative approach with an explanatory survey design. Data were collected through an online questionnaire from 126 students of the IPB Vocational School. The results demonstrate that exposure to AI videos has a significant and strong influence on students' level of trust. A simple linear regression analysis yielded a coefficient of determination (R Square) of 0.759. This finding indicates that repeated exposure to AI videos does not increase naive trust, but rather cultivates a broader attitude of skepticism toward media messages in general.
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American Psychiatric Association. (1994). Diagnostic and statistical manual of mental disorders (4th ed.). Washington DC: Author.
APJII. (2024). Laporan Survei Internet Indonesia 2024. Jakarta: Asosiasi Penyelenggara Jasa Internet Indonesia.
Chesney, R., & Citron, D. (2019). Deep fakes: A looming challenge for privacy, democracy, and national security. Law and Ethics of Human Rights, 14(1), 1–24.
Cohen, J. (2018). Statistical power analysis for the behavioral sciences (2nd ed.). Routledge.
Cooper, D. R., & Schindler, P. S. (2014). Business research methods (12th ed.). McGraw-Hill/Irwin.
Creswell, J. W., & Creswell, J. D. (2018). Research design: Qualitative, quantitative, and mixed methods approaches (5th ed.). Sage Publications.
DeVellis, R. F. (2017). Scale development: Theory and applications (4th ed.). Sage Publications.
Field, A. (2018). Discovering statistics using IBM SPSS statistics (5th ed.). Sage Publications.
Gerbner, G., Gross, L., Morgan, M., & Signorielli, N. (2022). Growing up with television: The cultivation perspective. In Media Effects (pp. 43–67). Routledge.
Hancock, J. T., Naaman, M., & Levy, K. (2020). AI-mediated communication: How the perception that profile text was written by AI affects trustworthiness. Proceedings of the ACM on Human-Computer Interaction, 4(CSCW), 1–19.
Katz, E., Blumler, J. G., & Gurevitch, M. (2019). Uses and gratifications research. The Public Opinion Quarterly, 37(4), 509–523.
Kietzmann, J., Lee, L. W., McCarthy, I. P., & Kietzmann, T. C. (2020). Deepfakes: Trick or treat?. Business Horizons, 63(2), 135–146.
Kotler, Philip. (1997). Manajemen pemasaran : Analisis, perencanaan, implementasi (Hendra Teguh & Ronny Antonius Rusli, Penerjemah.). Jakarta: Prenhallindo.
Metzger, M. J., & Flanagin, A. J. (2013). Credibility and trust of information in online environments: The use of cognitive heuristics. Journal of Pragmatics, 59, 210–220.
Narayanan, A., & Vallor, S. (2022). Why is it so hard to build trustworthy AI?. IEEE Security & Privacy, 20(3), 13–21.
Neuman, W. L. (2014). Social research methods: Qualitative and quantitative approaches (7th ed.). Pearson Education.
Pranata, R. T. H., Rahayu, A., & Pebrianti, N. (2025). Analisis teknik pengambilan gambar dan teknik voice over pada video profile development and assessment (CDA) IPB University. Nivedana: Jurnal Komunikasi dan Bahasa, 6(1), 56–68.
Putri, N. R., Salsabila, H., & Pratama, Y. (2024). Literasi digital dan keterampilan berpikir kritis mahasiswa di era AI. Jurnal Ilmu Komunikasi Digital, 3(2), 55–68.
Russell, S., & Norvig, P. (2021). Artificial intelligence: A modern approach (4th ed.). Pearson Education.
Shao, C., Ciampaglia, G. L., Varol, O., Yang, K. C., Flammini, A., & Menczer, F. (2018). The spread of low-credibility content by social bots. Nature Communications, 9(1), 1–9.
Sugiyono. (2019). Metode penelitian kuantitatif, kualitatif, dan R&D. Alfabeta.
Vaccari, C., & Chadwick, A. (2020). Deepfakes and disinformation: Exploring the impact of synthetic political video on deception, uncertainty, and trust in news. Social Media + Society, 6(1), 1–13.
Weiss, N. A. (2017). Introductory statistics (10th ed.). Pearson Education.
Westerlund, M. (2019). The emergence of deepfake technology: A review. Technology Innovation Management Review, 9(11), 39–52.
Zhou, X., & Chen, L. (2022). Understanding the psychological effects of deepfake exposure: A media effects perspective. Computers in Human Behavior, 136, 107380.
Published
2026-03-15
How to Cite
Awalya Sanjaya, K., Otang Sasmita, H., Tri Harpin Pranata, R., & Riyanto, S. (2026). PENGARUH PAPARAN VIDEO AI TOKOH PUBLIK TERHADAP TINGKAT KEPERCAYAAN MAHASISWA PADA ISI PESAN MEDIA. NIVEDANA : Jurnal Komunikasi Dan Bahasa, 7(1), 116-129. https://doi.org/10.53565/nivedana.v7i1.2261
Section
Articles
DOI :
https://doi.org/10.53565/nivedana.v7i1.2261
