TLDR if you don’t wanna watch the whole thing: Benaminute (the Youtuber here) creates a fresh YouTube account and watches all recommended shorts without skipping. They repeat this 5 times, where they change their location to a random city in the US.

Below is the number of shorts after which alt-right content was recommended. Left wing/liberal content was never recommended first.

  1. Houston: 88 shorts
  2. Chicago: 98 shorts
  3. Atlanta: 109 shorts
  4. NYC: 247 shorts
  5. San Fransisco: never (Benaminute stopped after 250 shorts)

There however, was a certain pattern to this. First, non-political shorts were recommended. After that, AI Jesus shorts started to be recommended (with either AI Jesus talking to you, or an AI narrator narrating verses from the Bible). After this, non-political shorts by alt-right personalities (Jordan Peterson, Joe Rogan, Ben Shapiro, etc.) started to be recommended. Finally, explicitly alt-right shorts started to be recommended.

What I personally found both disturbing and kinda hilarious was in the case of Chicago. The non-political content in the beginning was a lot of Gen Alpha brainrot. Benaminute said that this seemed to be the norm for Chicago, as they had observed this in another similar experiment (which dealt with long-form content instead of shorts). After some shorts, there came a short where AI Gru (the main character from Despicable Me) was telling you to vote for Trump. He was going on about how voting for “Kamilia” would lose you “10000 rizz”, and how voting for Trump would get you “1 million rizz”.

In the end, Benaminute along with Miniminuteman propose a hypothesis trying to explain this phenomenon. They propose that alt-right content might be inciting more emotion, thus ranking high up in the algorithm. They say the algorithm isn’t necessarily left wing or right wing, but that alt-right wingers have understood the methodology of how to capture and grow their audience better.

  • ragebutt@lemmy.dbzer0.com
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    16 hours ago

    Do these companies put their fingers on the scale? Almost certainly

    But it’s exactly what he said that’s what brought us here. They have not particularly given a shit about politics (aside from no taxes and let me do whatever I want all the time). However, the algorithms will consistently reward engagement. Engagement doesn’t care about “good” or “bad”, it just cares about eyes on it, clicks, comments. And who wins that? Controversial bullshit. Joe Rogan getting elon to smoke weed. Someone talking about trans people playing sports. Etc

    This is a natural extension of human behavior. Human behavior occurs because of a function. I do x because of a function, function being achieving reinforcement. Attention, access to something, escaping, or automatic.

    Attention maintained behaviors are tricky because people are shitty at removing attention and attention is a powerful reinforcer. You tell everyone involved “this person feeds off of your attention, ignore them”. Everyone agrees. The problematic person pulls their bullshit and then someone goes “stop it”. They call it negative reinforcement (this is not negative reinforcement. it’s probably positive reinforcement. It’s maybe positive punishment, arguably, because it’s questionable how aversive it is).

    You get people to finally shut up and they still make eye contact, or non verbal gestures, or whatever. Attention is attention is attention. The problematic person continues to be reinforced and the behavior stays. You finally get everyone to truly ignore it and then someone new enters the mix who doesn’t get what’s going on.

    This is the complexity behind all of this. This is the complexity behind “don’t feed the trolls”. You can teach every single person on Lemmy or reddit or whoever to simply block a malicious user but tomorrow a dozen or more new and naive people will register who will fuck it all up

    The complexity behind the algorithms is similar. The algorithms aren’t people but they work in a similar way. If bad behavior is given attention the content is weighted and given more importance. The more we, as a society, can’t resist commenting, clicking, and sharing trump, rogan, peterson, transphobic, misogynist, racist, homophobic, etc content the more the algorithms will weight this as “meaningful”

    This of course doesn’t mean these companies are without fault. This is where content moderation comes into play. This is where the many studies that found social media lead to higher irritability, more passive aggressive behavior and lower empathetization could potentially have led us to regulate these monsters to do something to protect their users against the negative effects of their products

    If we survive and move forward in 100 years social media will likely be seen in the way we look at tobacco now. An absolutely dangerous thing that was absurd to allowed to exist in a completely unregulated state with 0 transparency as to its inner workings