Perceptions of Algorithmic Gatekeeping, Visibility Uncertainty, and Algorithmic Resistance Practices Among TikTok Content Creators in Indonesia
DOI:
https://doi.org/10.71238/jcmpl.v1i01.191Abstract
The emergence of algorithm-driven social media platforms has transformed the way digital content is produced, distributed, and consumed. This study examines the relationship between perceptions of algorithmic gatekeeping, visibility uncertainty, and algorithmic resistance practices among TikTok content creators in Indonesia. The research employed a quantitative approach using a survey method involving 150 TikTok content creators. Data were collected through a structured questionnaire measured using a five-point Likert scale and analyzed using SPSS version 25. The data analysis included descriptive statistics, validity and reliability testing, classical assumption testing, and multiple regression analysis to examine the proposed relationships among variables. The findings indicate that content creators perceive TikTok’s algorithm as a significant gatekeeping mechanism that influences content distribution and audience exposure. The regression results demonstrate that algorithmic gatekeeping perception has a positive and significant effect on visibility uncertainty. Furthermore, algorithmic gatekeeping perception and visibility uncertainty significantly influence algorithmic resistance practices. These findings indicate that uncertainty regarding algorithmic visibility encourages creators to develop adaptive strategies, including content optimization, trend adaptation, and engagement management. This study contributes to understanding how digital creators negotiate algorithmic control within platform-based environments, particularly in the Indonesian TikTok ecosystem.
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