Surprisingly, social media algorithms are basic.
With so many exciting new technologies and social networks being R&D‑driven tech giants, it’s easy to assume that social media algorithms are complex works of wonder.
Well, they aren’t.
Here we go:
Why Social Media Algorithms Are Basic
Earning many subscribers, fans, and followers used to matter a lot, but since the silent switch, it has mattered less. The old trust-based system has given way to the single content algorithm, which favours sensationalism.
But, wait!
Why must it be this way? With such profound advancements in digital technologies (artificial intelligence, machine learning, big data analysis, etc.), shouldn’t social media algorithms be more sophisticated?
In an era of prominent social media issues (fake news, disinformation, electoral tampering, etc.), shouldn’t social networks like Facebook, Instagram, TikTok, LinkedIn, and many others be more interested in favouring trust?
Instead, social media algorithms are basic. There are a few reasons as to why:
So, social media algorithms aren’t as sophisticated as they could be. They’re basic. For now, the single content algorithm reigns supreme.
The single content algorithm = when social networks demote content creator authority to promote single content performance to maximise user engagement for ad revenue.
Learn more: Why Social Media Algorithms Are Basic
The Silent Switch
All social media algorithms are built differently and are constantly being developed. At the same time, social media users’ behaviours are evolving.
Still, there was a way that social media algorithms used to behave—and there is a way that social media algorithms behave now.
This has been a fundamental but silent switch.
How Social Media Algorithms Used To Behave
For more than a decade, social media algorithms would deliver organic reach according to a distribution that looked something like this:
This distribution of organic reach enabled organisations to use social media despite not being “media companies.”
How Social Media Algorithms Behave Today
Today, after the silent shift, social media algorithms deliver organic reach more like this:
The increased competition and sophistication among content creators partially explain this new type of distribution. However, going viral is still just as possible for anyone.
How does this work?
The Single Content Algorithm
How can a social network predict what users will like?
Content from a trusted creator trusted by a large community of followers used to be the leading indicator of future performance. But today, social networks have found a better way to predict content success.
The single content algorithm = when social networks demote content creator authority to promote single content performance to maximise user engagement for ad revenue.
The single content algorithm presents newly published content to a limited audience sample size:
If the newly published content tests successfully, the social media algorithm pushes that content to a slightly larger statistical subset. And so on.
This iterative process means that single pieces of content worthy of going viral will go viral, a) even if it takes a longer time, and b) regardless of the content creator’s number of followers.
Learn more: The Silent Switch
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