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Automation, Algorithms, and Self-Censorship

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Two YouTube videos reached audiences at least a hundred times larger than the writer’s usual viewership after being recommended by the platform. Rather than treating that attention as a formula to repeat, the writer asks whether chasing algorithmic reach should shape what he creates. He argues that creativity is an ongoing process of choices and omissions, not a single flash of inspiration. Self-censorship is part of that process: deliberate omissions can sharpen a work, while unthinking habits and clichés let convention make choices on the creator’s behalf. Technology has always shaped creative work, but familiar media such as print impose relatively stable constraints that artists can learn to navigate.

Algorithmic platforms, by contrast, can assemble a different audience for each topic or format. Experimenting may therefore mean losing one audience and being delivered to another, making creators more likely to repeat what previously performed well. This turns self-censorship from a way to explore and refine a work into a force for stagnation. The writer contrasts algorithm-driven video platforms with newsletters, feed-based websites, and podcasts, where audiences feel more stable and experimentation feels less risky. Creators can ignore algorithms and rely on direct followers, or settle into a consistent format tailored to algorithmically gathered viewers; both are valid choices. Audiences also have a legitimate interest in familiar, easy-to-follow media, though the writer prefers chosen familiarity to automated, pre-digested content.

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