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ZENODO
Article . 2024
License: CC BY
Data sources: ZENODO
ZENODO
Article . 2024
License: CC BY
Data sources: Datacite
ZENODO
Article . 2024
License: CC BY
Data sources: Datacite
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AI Satire and Digital Dystopia: The Dor Brothers Crafting Imperfection and Political Commentary in Contemporary Video Art

Authors: James Hutson1*, Andrew Smith2;

AI Satire and Digital Dystopia: The Dor Brothers Crafting Imperfection and Political Commentary in Contemporary Video Art

Abstract

Abstract The Dor Brothers' AI-generated video content exemplifies an inflection point in digital creativity, where technological limitations are repurposed as aesthetic tools. Drawing on recent interviews with Yonatan Dor, this article explores the innovative techniques of the brothers, such as masking visual imperfections with retro filters and embracing the unpredictability of AI outputs. Through generating numerous clips and meticulously editing selections, they create a unique aesthetic that juxtaposes surrealism with a gritty realism, often reminiscent of early CCTV or VHS footage. Their work not only transcends the typical "morphing face" trope of AI videos but also engages in satire, using deepfake-like visuals to reflect and critique conspiracy theories. This exploration reflects a broader trend where AI's creative possibilities are expanding into mainstream media, with creators increasingly using the technology to push visual boundaries while maintaining artistic integrity. The approach of The Dor Brothers underscores the intersection of creativity and technology, raising questions about the future of AI in content creation, copyright concerns, and the cultural impact of user-generated deepfakes. Keywords: AI-generated video, The Dor Brothers, deepfake, AI art, surrealism, digital creativity, retro filters, artistic innovation, copyright

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average