Videography in Digital Visual Culture: Algorithmic Aesthetics and Visual Narrative Practices in Contemporary Indonesia
DOI:
https://doi.org/10.21512/ijvcdc.v5i1.15790Keywords:
videography, visual culture, digital media, algorithmic aesthetics, visual communicationAbstract
Videography has evolved into a central practice within digital visual culture, particularly in the context of social media platforms and algorithm-driven content ecosystems. This study investigates videography not only as a technical medium but as a form of visual communication shaped by cultural, technological, and algorithmic forces. Drawing on visual culture theory and new media studies, this paper explores how videographic practices are transformed through platform logics, particularly in the Indonesian digital landscape. Using a qualitative case study approach, this research analyzes the emergence of short-form video practices in Indonesia as a form of cultural production and identity construction. The study integrates theoretical frameworks from visual culture (Mirzoeff) and software culture (Manovich), alongside empirical findings from studies on social media engagement and digital content strategies. The findings reveal that videography operates within an “algorithmic aesthetic” framework, where creative decisions are influenced by visibility metrics and platform affordances. In Indonesia, this phenomenon is further shaped by local cultural narratives and participatory media practices. This paper contributes to visual culture discourse by positioning videography as a hybrid practice at the intersection of art, design, and algorithmic systems.
References
Abidin, C. (2021). Mapping Internet Celebrity on TikTok: Exploring Attention Economies and Visibility Labours. Cultural Science Journal, 12, 77-103. https://doi.org/10.5334/csci.140
Bucher, T. (2018). If... Then: Algorithmic power and politics. Oxford University Press.
Gillespie, T. (2014). The relevance of algorithms. Media Technologies. https://doi.org/10.7551/mitpress/9780262525374.003.0009
Hallinan, B., & Striphas, T. (2016). Recommended for you: The Netflix Prize and the production of algorithmic culture. New Media & Society, 18, 117 - 137. https://doi.org/10.1177/2056305116641601
Jurriens, E., & Tapsell, R. (2017). Challenges and opportunities of the digital 'revolution' in Indonesia. In E. J. A. R. T. (Ed.), Digital Indonesia: Connectivity and Divergence: Connectivity and Divergence (1 ed., Vol. 1, pp. 1-18). ISEAS Publishing. https://doi.org/10.1355/9789814786003-007
Kitchin, R. (2017). Thinking critically about algorithms. Information, Communication & Society, 20(1), 14–29. https://doi.org/10.1080/1369118X.2016.1154087
Lim, M. (2017). Freedom to hate. Public Affairs.
Lister, M., et al. (2009). New media: A critical introduction. Routledge.
Manovich, L. (2013). Software takes command. Bloomsbury.
Qin, X., & Jiang, Z. (2019). The Impact of AI on the Advertising Process: The Chinese Experience. Journal of Advertising, 48(4), 338-346. https://doi.org/10.1080/00913367.2019.1652122
Rose, G. (2016). Visual methodologies. Sage.
Striphas, T. (2015). Algorithmic culture. European Journal of Cultural Studies, 18(4-5), 395-412. https://doi.org/10.1177/1367549415577392
Zhang, Y., Wu, M., Tian, G. Y., Zhang, G., & Lu, J. (2021). Ethics and privacy of artificial intelligence: Understandings from bibliometrics. Knowledge-Based Systems, 222, 106994. https://doi.org/10.1016/j.knosys.2021.106994
Zulli, D., & Zulli, D. J. (2020). Extending the Internet meme: Conceptualizing technological mimesis and imitation publics on the TikTok platform. New Media & Society, 24(8), 1872–1890. https://doi.org/10.1177/1461444820983603
Downloads
Published
How to Cite
Issue
Section
License
Copyright (c) 2026 Reihan Febrian Yaldi

This work is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License.
Authors who publish with this journal agree to the following terms:
a. Authors retain copyright and grant the journal right of first publication with the work simultaneously licensed under a Creative Commons Attribution License - Share Alike that allows others to share the work with an acknowledgment of the work's authorship and initial publication in this journal.
b. Authors are able to enter into separate, additional contractual arrangements for the non-exclusive distribution of the journal's published version of the work (e.g., post it to an institutional repository or publish it in a book), with an acknowledgment of its initial publication in this journal.
c. Authors are permitted and encouraged to post their work online (e.g., in institutional repositories or on their website) prior to and during the submission process, as it can lead to productive exchanges, as well as earlier and greater citation of published work.
USER RIGHTS
All articles published Open Access will be immediately and permanently free for everyone to read and download. We are continuously working with our author communities to select the best choice of license options, currently being defined for this journal as follows: Creative Commons Attribution-Share Alike (CC BY-SA)



