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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/probabalistic 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.
What I will argue, on the basis of these cases and of those I’m going to describe further, is that the scale and logic of the system is complicit in these outputs, and requires us to think through their implications.
(Also again: I’m not going to dig into the wider social implications of such processes outside the scope of what I am writing about here, but it’s clear that one can draw a clear line from examples such as these to pressing contemporary issues such as racial and gender bias in big data and machine intelligence-driven systems, which require urgent attention but in the same manner do not have anything resembling easy or even preferable solutions.)
Let’s look at just one video among the piles of kid videos, and try to parse out where it comes from. It’s important to stress that I didn’t set out to find this particular video: it appeared organically and highly ranked in a search for ‘finger family’ in an incognito browser window (i.e. it should not have been influenced by previous searches). This automation takes us to very, very strange places, and at this point the rabbithole is so deep that it’s impossible to know how such a thing came into being.
Once again, a content warning: while not being explicitly inappropriate, the video is decidedly off, and contains elements which might trouble — frankly, should trouble — anyone. It’s very mild on the scale of such things, but. I describe it below if you don’t want to watch it. This warning will recur.
The above video is entitled Wrong Heads Disney Wrong Ears Wrong Legs Kids Learn Colors Finger Family 2017 Nursery Rhymes. The title alone confirms its automated provenance. I have no idea where the “Wrong Heads” trope originates, but I can imagine, as with the Finger Family Song, that somewhere there is a totally original and harmless version that made enough kids laugh that it started to climb the algorithmic rankings until it made it onto the word salad lists, combining with Learn Colors, Finger Family, and Nursery Rhymes, and all of these tropes — not merely as words but as images, processes, and actions — to be mixed into what we see here.
The video consists of a regular version of the Finger Family song played over an animation of character heads and bodies from Disney’s Aladdin swapping and intersecting. Again, this is weird but frankly no more than the Surprise Egg videos or anything else kids watch. I get how innocent it is. But the offness creeps in with the appearance of a non-Aladdin character —Agnes, the little girl from Despicable Me. This little girl does not swap heads or bodies, she just floats around the screen, sometimes laughing a little cartoon laugh, and sometimes, repeatedly, bursting into floods of tears.
The video’s creator, BABYFUN TV (screenshot above), has produced many similar videos. As many of the Wrong Heads videos as I could bear to watch were all off in the same way. The character Hope from Inside Out weeps through a Smurfs and Trolls head swap. It goes on and on. BABYFUN TV only has 170 subscribers and very low view rates, but then there are thousands and thousands of channels like this. Numbers in the long tail aren’t significant in the abstract, but in their accumulation.
The question becomes: how did this come to be? The “Bad Baby” trope also present on BABYFUN TV features the same crying. While I find it disturbing, I can understand how it might provide some of the rhythm or cadence or relation to their own experience that actual babies are attracted to in this content, although it has been warped and stretched through algorithmic repetition and recombination in ways that I don’t think anyone actually wants to happen.
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https://medium.com/@jamesbridle/something-is-wrong-on-the-internet-c39c471271d2
