Loading article...
Loading article...
Stream/Area:
-
Subject:
-
Paper ID:
IJSREM52161
Volume:
9 |
8 |
Aug 2025
Pages:
Publication Frequency:
Monthly (12 issues per year)
License:International Journal of Scientific Research in Engineering and Management follows the Creative Commons Attribution 4.0 (CC BY 4.0) License, allowing free use and distribution with proper attribution.
In the age of digitalization and artificial intelligence (AI), documentary filmmaking has experienced a significant metamorphosis. Documentaries have grown thanks to digital tools, online platforms, and artificial intelligence (AI) technologies that change storytelling, aesthetics, and audience engagement. Historically, they were constrained by analog film processes and distribution barriers. The evolution of documentary filmmaking from film-based methods to the digital revolution and the emergence of AI-driven techniques is examined in this paper. It raises ethical and authenticity concerns while critically examining the ways AI supports visual effects, editing, scripting, and personalization. The article emphasizes how AI can be both an enabler and a disruptor, citing case studies like Welcome to Chechnya (2020), which used AI-based face replacement, Netflix’s algorithmic documentary recommendations, and YouTube’s role in activist storytelling. The study links theoretical viewpoints on digital media with practical applications through a qualitative, case-study-based methodology, demonstrating how artificial intelligence is changing the way documentaries are distributed, viewed, and told. According to the study’s findings, artificial intelligence (AI) both challenges traditional ideas of truth and authorship that serve as the cornerstone of documentary practice and creates new opportunities for immersive and democratized storytelling.
KEYWORDS
Publication Date
8/25/2025
Peer Review Type
Double-Blind Peer Review
Review Rounds: 2
Documents
Article Views
0
Total views since publication
PDF Downloads
5
Total downloads since publication
Geographic Reach
5
Digital Preservation: This article is permanently archived on Zenodo and complies with all data preservation standards across major indexing platforms.
Plagiarism Screening
This manuscript has been checked for plagiarism using TurnitinPlagiarismChecker software.
Conflict of Interest
The authors declare no conflict of interest related to this research work.
Funding Information
No funding information available for this research.
Related research in the same subject area
Loading similar articles...