Doctor SpinThe PR BlogManaging Social MediaWhy Social Media Algorithms Are Basic

Why Social Media Algorithms Are Basic

The secret: iterative distributions.

Cover photo: @jerrysilfwer

tl:dr;
With so many 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. They aren't.

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:

  • Advanced serv­er-side com­pu­ta­tion is expens­ive. The news media con­stantly buzzes about machine learn­ing, neur­al net­works, and arti­fi­cial intel­li­gence. The prob­lem for social net­works, how­ever, is that provid­ing advanced serv­er-side cal­cu­la­tions on user beha­viour in real-time is expens­ive at scale.
  • Advanced serv­er-side com­pu­ta­tion is still worse. Besides being cheap­er, the single con­tent algorithm is still super­i­or at present­ing enga­ging con­tent to users. This will undoubtedly change in the future, but we’re not there yet.
  • There is a clash of desired out­comes. Trust-based algorithms make con­tent cre­at­ors power­ful, while single con­tent-based algorithms bring back con­trol to the social net­work. This makes it easi­er for the social net­work to optim­ise for ad revenue.

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


Thanks for read­ing. Need a PR spe­cial­ist?
Please con­tact Jerry for a consultation.

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Jerry Silfwer
Jerry Silfwerhttps://doctorspin.net/
Jerry Silfwer, alias Doctor Spin, is an awarded senior adviser specialising in public relations and digital strategy. Currently CEO at Spin Factory and KIX Communication Index. Before that, he worked at Whispr Group NYC, Springtime PR, and Spotlight PR. Based in Stockholm, Sweden.

The Cover Photo

The cover photo isn't related to public relations obviously; it's just a photo of mine. Think of it as a 'decorative diversion', a subtle reminder that it's good to have hobbies outside work.

The cover photo has

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