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Jurnal Pekommas
Published by Sekolah Tinggi Multi Media Yogyakarta
ISSN : 25021893     EISSN : 25021907     DOI : 10.56873
Core Subject : Science, Education,
Computer Science & IT Decision Sciences, Operations Research & Management Languange, Linguistic, Communication & Media
Pekommas is a journal published by the BBPSDMP Kominfo Makassar with the aim of disseminating information on scientific developments in communication, informatics and mass media. The manuscript published in this journal is derived from research and scientific study conducted by researchers, academics and observers of communication, informatics and mass media. Rises with frequency of 2 times a year, namely in April, October.
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Articles 371 Documents
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Hubungan Literasi Digital, Paparan Video Deepfake yang Dihasilkan AI, dan Kemampuan untuk Mengidentifikasi Deepfake pada Generasi X Dhahir, Darman Fauzan; Syarifuddin, Syarifuddin; Kenda, Ndoheba; Dirgahayu, Dida; Djaffar, Rachmawaty; Widihastuti, Retno; Rustam, Muhammad; Pala, Rukman
Jurnal Pekommas Vol 9 No 2 (2024): Desember 2024
Publisher : Sekolah Tinggi Multi Media “MMTC” Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56873/jpkm.v9i2.5873

Abstract

The study explores the relationship between digital literacy, exposure to AI-generated deepfake videos, and the ability to identify deepfakes by Generation X in Indonesia who are currently between the ages of 43 and 58. It also analyzes the impact of deepfake identification capabilities on the cognitive, affective, and behavioral aspects of internet users. Through a survey involving 199 respondents taken from a total population of 42 million Generation X internet users in Indonesia, it applied a random sampling method. The sample size was determined by the Slovin formula with a confidence level of 90% and a margin of error of 7.1%. The descriptive analysis shows a moderate level of digital literacy and relatively low exposure to deepfakes. However, the ability to identify deepfakes was found to be low. The results of inferential statistical analysis show that digital literacy and exposure to deepfakes do not have a significant influence on the ability to identify deepfakes. Additionally, the ability to identify deepfakes does not significantly affect cognition, compassion, or behavior. While digital literacy is important, these findings reinforce the assumptions of Generation Theory and Media Dependency Theory. Additionally, it suggests that specific training on media manipulation technologies is needed to improve deepfake detection capabilities. This research implies that efforts to improve digital literacy should be expanded, including technical skills and critical thinking relevant to manipulative media such as deepfakes.

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