What I find somewhat disturbing about the proliferation of even (relatively) normal kids videos is the impossibility of determining the degree of automation which is at work here; how to parse out the gap between human and machine. The example above, from a channel called Bounce Patrol Kids, with almost two million subscribers, show this effect in action. It posts professionally produced videos, with dedicated human actors, at the rate of about one per week. Once again, I am not alleging anything untoward about Bounce Patrol, which clearly follows in the footsteps of pre-digital kid sensations like their fellow Australians The Wiggles.
And yet, there is something weird about a group of people endlessly acting out the implications of a combination of algorithmically generated keywords: “Halloween Finger Family & more Halloween Songs for Children | Kids Halloween Songs Collection”, “Australian Animals Finger Family Song | Finger Family Nursery Rhymes”, “Farm Animals Finger Family and more Animals Songs | Finger Family Collection - Learn Animals Sounds”, “Safari Animals Finger Family Song | Elephant, Lion, Giraffe, Zebra & Hippo! Wild Animals for kids”, “Superheroes Finger Family and more Finger Family Songs! Superhero Finger Family Collection”, “Batman Finger Family Song — Superheroes and Villains! Batman, Joker, Riddler, Catwoman” and on and on and on. This is content production in the age of algorithmic discovery — even if you’re a human, you have to end up impersonating the machine.
Other channels do away with the human actors to create infinite reconfigurable versions of the same videos over and over again. What is occurring here is clearly automated. Stock animations, audio tracks, and lists of keywords being assembled in their thousands to produce an endless stream of videos. The above channel, Videogyan 3D Rhymes — Nursery Rhymes & Baby Songs, posts several videos a week, in increasingly byzantine combinations of keywords. They have almost five million subscribers — more than double Bounce Patrol — although once again it’s impossible to know who or what is actually racking up these millions and millions of views.
I’m trying not to turn this essay into an endless list of examples, but it’s important to grasp how vast this system is, and how indeterminate its actions, process, and audience. It’s also international: there are variations of Finger Family and Learn Colours videos for Tamil epics and Malaysian cartoons which are unlikely to pop up in any Anglophone search results. This very indeterminacy and reach is key to its existence, and its implications. Its dimensionality makes it difficult to grasp, or even to really think about.
We’ve encountered pretty clear examples of the disturbing outcomes of full automation before — some of which have been thankfully leavened with a dark kind of humour, others not so much. Much has been made of the algorithmic interbreeding of stock photo libraries and on-demand production of everything from tshirts to coffee mugs to infant onesies and cell phone covers. The above example, available until recently on Amazon, is one such case, and the story of how it came to occur is fascinating and weird but essentially comprehensible. Nobody set out to create phone cases with drugs and medical equipment on them, it was just a deeply weird mathematical/probabilistic outcome. The fact that it took a while to notice might ring some alarm bells however.
Likewise, the case of the “Keep Calm and Rape A Lot” tshirts (along with the “Keep Calm and Knife Her” and “Keep Calm and Hit Her” ones) is depressing and distressing but comprehensible. Nobody set out to create these shirts: they just paired an unchecked list of verbs and pronouns with an online image generator. It’s quite possible that none of these shirts ever physically existed, were ever purchased or worn, and thus that no harm was done. Once again though, the people creating this content failed to notice, and neither did the distributor. They literally had no idea what they were doing.