Autistic YouTubers: the uncanny valley as a phenomenon

The uncanny valley applied to autism divides audiences: normalization or trivialization? The phenomenon, explained.

English · Original discussion in Spanish · Published

When autism becomes viral content

Autism has become a content niche on YouTube, and not for the reasons you might expect. Among creators with visible autistic traits, viewers detect a discomfort with a name of its own: the uncanny valley. The term, borrowed from robotics, describes the sense of strangeness produced by an autistic person with unconventional body language, gazes that avoid the camera, and an extreme effort of social camouflage. All of it, moreover, edited and filtered through the 'mask' the camera demands. In person, some argue, that impression intensifies.

What the uncanny valley means in the autism context

The autistic community itself has ended up adopting the term as part of its jargon. It was not born as a slur: it was autistic people themselves who appropriated the robot theory to explain why neurotypicals perceive them as 'weird'. Social masking plays a central role: the more a person masks, the stranger they seem to others. Sentence structure, gestures, and eye direction trigger an instinctive rejection, even when the video is polished by editing.

Between normalization and trivializing the diagnosis

One camp holds that these creators harm no one and that society should show more understanding toward the autism spectrum. On the opposite side, some warn of the risk of trivialization: calling anyone slightly odd autistic becomes an insult to those with a real diagnosis. The clash of positions, with mutual accusations, shows the phenomenon is far from consensus. In the attention economy, oddness is on the rise; if the trend continues, the uncanny valley could stop being an accident and become a deliberate personal branding strategy.

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Summary of a discussion on Burbuja.info - Foro de economía, actualidad y política., translated from Spanish and reviewed before publication. Read the full discussion (23 replies).

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