No, this doesn't change Facebook's algorithm

First of all: Is it possible to influence the Facebook algorithm?

No. – That’s the short answer. There is simply no way to intervene in Facebook's algorithm. Especially not through a status post.

What is it about?

Apparently there is a new Facebook algorithm and something has changed in the groups on Facebook! According to the chain letter it says that if you only look at but don't respond to them, e.g. “like” or “ comment this , then Facebook would no longer show you other posts in the group. The alleged reason: Facebook is convinced that you are no longer interested in the respective posts!

The status post as wording:

Important announcement for EVERYONE, please read carefully
CHANGES TO FACEBOOK
Due to Facebook's new algorithms, the following changes In groups
Explained in simple words:

If some posts or lives are only viewed without a reaction from you, Facebook will now sort out what you see.
If you are inactive in groups, nothing new will be shown to you. Just reading along signals...no interest, the thread is uninteresting. At the moment only a small group of members see current information here, everyone else only sees it by chance. Which confirms it because a lot of people have been writing to me lately that they haven't been notified. Now you know why anyone who doesn't respond to threads or live is now unfortunately dropped from Facebook and no longer sees any new feeds.

The algorithms can only be circumvented if EVERYONE becomes more active.
It's not just like this here...
It's like this in all groups from October 1st, 2022.

So girls...
send each other friend requests, actively participate in lives or posts, don't just comment and read, otherwise you won't be informed about anything new.
SUPPORT all your favorite groups, WE DON'T WANT TO LOSE THE GROUPS, it can only run hand in hand!
Please like & read and accept comments

Is this claim true?

NO! What many people don't know is that there is also so-called "silent reading" or "silent consumption" on Facebook and this also counts as an "activity".

In detail:

When it comes to the news feed algorithm, there are many theories and myths. Most people understand that there is an algorithm at work, and many are aware of some of the factors that inform that algorithm (whether you like or engage with a post, etc.). But there is still a lot that is misunderstood.

Facebook publicly discloses many of the feed's details and features. Most importantly, the machine learning (ML) system that powers Feed is incredibly complex, with many layers. Facebook reveals details about how the ranking system works and the challenges of building a system that personalizes content for more than 2 billion people and shows each of them content that is relevant and meaningful to them, every time they visit Facebook.

What's so difficult?

First of all, the volume is enormous. More than 2 billion people around the world use Facebook. For each of these people, there are more than a thousand “candidate” posts (or posts that could potentially appear in that person’s feed). We're talking trillions of posts for everyone on Facebook.

What you need to keep in mind is that for every person on Facebook, there are thousands of signals that Facebook has to evaluate to determine what that person might find most relevant. So Facebook has trillions of posts and thousands of signals – and Facebook needs to instantly predict what each of those people wants to see in their feed.

When you open Facebook, this process happens in the background for the second it takes for your news feed to load. And if all this works, things change and Facebook has to consider new problems, like clickbait and the spread of misinformation. If this happens, Facebook will in turn have to find new solutions.

In reality, the ranking system is not just a single algorithm, but multiple layers of ML models and rankings that we apply to predict the most relevant and meaningful content for each user. As Facebook moves through each tier, the ranking system narrows down those thousands of candidate posts to the few hundred that appear in a user's News Feed at any given time.

How does this work?

Put simply, the system determines which posts appear in your news feed and in what order by predicting what is most likely to interest or appeal to you. These predictions are based on a variety of factors, including what and who you've recently followed, liked, or engaged in.

An example using the fictional user “Hubert”

Since Hubert registered yesterday, his friend Uwe posted a photo of his cocker spaniel. Another friend, Carolin, posted a video of her morning run. His favorite site published an interesting article about the best way to see the Milky Way at night, while his favorite cooking group published four new sourdough recipes.

All of this content is likely relevant or interesting to Hubert because he has chosen to follow the people or pages that share it. To decide which of these things should appear higher in Hubert's News Feed, we need to predict what is most important to him and what content has the most value to him. In mathematical terms, we need to define an objective function for Hubert and perform a single-objective optimization.

Based on the characteristics of a contribution, e.g. For example, by knowing who is tagged in a photo and when it was posted, we can predict whether Hubert might like the post. If Hubert e.g. For example, if you tend to frequently interact with Carolin's posts (e.g. share or comment) and her running video is very current, there is a high probability that Hubert will like her posting. If Hubert has interacted more with video content than photos in the past, the like prediction for Uwe's photo of his cocker spaniel could be quite low. In this case, our ranking algorithm would rank Carolin's running video higher than Uwe's dog photo because it predicts a higher probability that Hubert would like it.

But liking isn't the only way people express their likes on Facebook . Every day, people share articles they find interesting, watch videos of people or celebrities they follow, or leave thoughtful comments on their friends' posts. Mathematically, things become more complex when we need to optimize for multiple goals that all add up to our main goal: creating the most long-term value for people by showing them content that is meaningful and relevant to them.

Several ML models create several predictions for Hubert: the probability that he will engage with Uwe's photo, Carolin's video, the article about the Milky Way, or the sourdough recipes. Each model attempts to evaluate this content for Hubert. Sometimes they don't agree - there might be a higher chance of Juan liking Carolin's ongoing video than the Milky Way article, but he might be more likely to comment on the article than the video. So we need a way to combine these different predictions into a score that is optimized for our primary goal, long-term value.

So how can Facebook measure whether something creates long-term value for a person?

Facebook asks its users: For example, Facebook asks people how meaningful they found an interaction with their friends or whether a post was worth their time, so that the system also reflects what people say they enjoy and find meaningful . Then Facebook can consider each prediction for Hubert based on the actions that people say (via polls) are more meaningful and worth their time.

You can find out more about this in English in the following article: Facebook: How Does News Feed Predict What You Want to See?

Conclusion:

Such status posts are of no use!

Not even if you think to yourself: "Well, I'll post this, if it doesn't help, it didn't hurt..." Mimikama note:
Dear Facebook group administrators!
Don't try to outsmart the Facebook algorithm with wrong tips for your users, but rather provide content that represents added value for your members, then the likes will come by themselves!

Thanks to the Facebook Power Admins DACH group for their support on the topic: Groups and the Facebook algorithm

Also read:
When Facebook warns about “hackers”.
The tale of the hacker on Facebook (Facebook security tips)
You're not on Facebook and yet Meta has your phone number?
Attention: “Figure” weight loss pill that is advertised via Facebook
Active and satisfied communities on Facebook – today and in the future