From Soviet Erasures to Deepfakes: The Long History of Altering Reality
In short: We often assume the camera never lies, but humans have been editing reality since the 19th century. Whether for political propaganda, scientific visualization, or artistic expression, photo manipulation transforms a raw moment into a curated narrative. From physical scratches on film to deep-learning algorithms, the line between truth and art is constantly shifting.
Photo manipulation is far older than digital software like Adobe Photoshop. As early as 1860, photographers manipulated images for political purposes; one notable instance involved swapping the body of politician John Calhoun with the head of Abraham Lincoln. In the Soviet Union, Joseph Stalin used retouching as a tool for 'damnatio memoriae'—the condemnation of memory. This included removing Leon Trotsky from photographs and later erasing NKVD leader Nikolai Yezhov from official press photos after his 1940 execution.
The techniques have evolved from physical to algorithmic. Early artists like Ansel Adams used darkroom exposure to 'burn' or 'dodge' light, while others used ink, paint, or double exposures. By the mid-1920s, Bernarr Macfadden pioneered the 'composograph,' pasting faces of real personalities onto staged scenes with body doubles. Today, 21st-century software uses advanced algorithms to automate complex transformations, such as beauty filters on TikTok or deep-learning tools that can change a subject's age, gender, or facial expression.
These manipulations carry significant ethical weight depending on intent. While science visualization specialists must balance visual appeal with accuracy when colorizing raw astronomical data from telescopes like James Webb, journalism faces strict codes of ethics. For example, the National Press Photographers Association (NPPA) warns against edits that mislead viewers—a standard violated by photographers who have faced resignation over manipulated work. Conversely, some argue that altering iconic images for modern campaigns is a common practice, highlighting the ongoing tension between artistic license and factual integrity.
The rise of 'deepfakes' in 2017 marked a new era where deep-learning generates entirely synthetic images or videos. These can be used for entertainment or more nefarious purposes like spreading disinformation and creating non-consensual pornographic material. This technological shift challenges our fundamental trust in visual evidence, forcing a distinction between photographs as documents of reality and photographs as tools for storytelling.
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Sources
- Summary by Intellect · source: Photograph manipulation
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