Veritasium
2 HN recommenders · recommended in 15 months, 2019–2023
23:43 · 5.6M views · May 19, 2019
Veritasium's Derek Muller explains his hypothesis that YouTube's algorithm, not viewer preference, drives views, and that click-through rate has become the key metric. He argues this pushes creators toward clickable titles and thumbnails and leads to burnout.
Cited in threads about recommendation algorithms and clickbait as a creator's inside view of why optimizing for click-through rate shapes content.
18 comments from Hacker News
This video from Veritasium goes into more about Youtuber burnout, self-blame, dynamics and the drive to non-platform revenue streams: this video If you find the apparent contradiction between Youtube success and creators needing to built out non-platform revenue streams strange, the video gives a pretty good theory explaining why. It's possible that a small number of creators are taking most of the revenue at any particular time, and the set of outstandingly successful creators keeps changing, which it might due to the promotion algorithm. That gives all of them reasons to build out non-platform revenue streams. I'm not saying Google/YouTube aren't taking too much. But hypothetically, even if they took 0% cut, the above could still happen.
Long time Veritasium subscriber here. He actually made a great video a while ago explaining why professional Youtubers don't have much of a choice when it comes to clickbaiting with titles and thumbnails, because it's the only way to reliably get lots of impressions and views and grow their channel: this video It made me gain a bit of empathy for creators using these tactics on Youtube and tolerate it as long as it's not being used to promote content that's devoid of any substance, which is pretty much never the case for Veritasium videos or any of the other educational channels I subscribe to.
This article is only half-right. Some of the other things you don't see because the algorithm doesn't promote them are: - scientists and educators that make 1 hour long videos to explain how something is incorrect. Example: [LINK] (less than 0.1% reach of the original) - long threads of detailed analysis with cross-references - long educational material that explaines e.g. confounders in order to explain why some statistical results observed are not possible to interpret in a certain way The reason you don't see this kind of content is simple: the level of its engagement is low. Its not clickbaity, its not exciting, it doesn't have a rebel perspective, it doesn't claim to uncover something nobody has ever seen before. Its often kind of a downer too, pointing out other people's mistakes. Social media sites make their money through engagement. The longer you stay on their site, the more ads they can show you. As such, their default algorithms promote engagement at any cost . It turns out that this trains creators to spread clickbaity, potentially misleading, false but exciting and novel "information" (see paper [1] as well as Veritasium's youtube specific explanation [2]) You know what other thing spreads a lot? Outrage. Extreme reactions to spread of misinformation are also engaging. People will fight over them due to strong feelings: one side frustrated by seeing the effort put into debunking having absolutely no effect (because it doens't get promoted by the algorithms, nobo
Immediate counter-arguments: Most professional YouTubers complain about having to tailor their videos to suit the recommendations algorithms. Historically, many short videos were padded out to just over 10 minutes in order to reach the minimum threshold to insert a midroll advertisement; today, many videos are as long as possible to take advantage of the algorithmic prioritisation of view time over view count. There is widespread dissatisfaction with the recent necessity to use clickbait thumbnails and titles, due to YouTube's increasing weighting of click-through-rate. this video Most analysts believe that the high weight on view time is causing the YouTube algorithms to promote the kind of videos that their heaviest users watch . The problem is that these heavy users aren't representative of the general population - they're far more likely to be interested in conspiracy theories or extremist politics. [LINK] The vast majority of YouTube video views are as a result of algorithmic decisions by YouTube - what to show in the recommendations bar, what to prioritise on the home page, what to put at the top of search results. Those algorithms are not and cannot be neutral. These algorithms aren't just shaping which videos people watch; YouTube creators freely admit to tailoring the content of their videos to fit the recommendations algorithm.
You Sir, are a Gentleman and a Scholar :-) >Now everything on the internet is "content," a hyper optimized form of human intellectual output that is devoid of art, minimal on information, excreted instead of created, measured to the lowest common denominator, monetized yet worthless, just enough bait on the hook for the next lizard brain click. I could not have said it better myself ! The Internet has become a place to publish/share every trivial thought that has ever popped into every mediocre mind. There is no self-regulation/self-censoring anymore. The Noise is just overwhelming and it is extremely mentally fatiguing just trying to get at any kind of Signal. You just give up and start numbing your mind with all the junk available. PS: Here is Veritasium explaining the insidious effects of "Youtube Platform" Algorithms - this video Now extrapolate the same idea to other dominant platforms like Facebook, Google etc. and you realize that "The Internet" has become a platform for Expression and not necessarily Information. PPS: The book Networked Life: 20 Questions and Answers by Mung Chiang gives an inside algorithmic view of how the above platforms work.