Post by Keithr0Post by MightyMousePost by DarylPost by Keithr0On Facebook they have a "People you may know" section. On my account
the other day, your name came up. Since the only communication that
we have had other than here was when you visited the museum, it
brings up the question of why they think that I may know you.
Good question, I have no idea how that sort of thing works, only
reason I'm on Facebook is car related and in particular a technical
support group.
I occasionally get the same thing and I've never understood how that
happens.
algorithms
Do you understand what an algorithm actually is?
Felix' answer, in all its simplicity, is 100% on the button.
There is no need for you to probe further - he's right, deal with it.
Anyway, for you, since you seem not to get it, the long form answer.
https://sproutsocial.com/insights/social-media-algorithms/
What is a social media algorithm?
An algorithm is a series of instructions designed to solve specific
problems, perform tasks or make decisions. In computer programming,
algorithms direct the computer’s actions, such as sorting elements,
locating data or identifying objects.
In social media, algorithms are rules, signals and data that govern the
platform’s operation. These algorithms determine how content is
filtered, ranked, selected and recommended to users. In some ways,
algorithms influence our choices and what we see on social media.
Why are social media algorithms important?
Every social media platform comprises a mix of users with different
preferences. Without a filtering system, users must navigate through a
flood of posts, which can be overwhelming.
This is where algorithms come into play. Social media platforms employ
sophisticated algorithms as intelligent guides, carefully sorting and
matching content to audiences with similar preferences. Understanding
the ins and outs of algorithms and why they are important is essential
for any social media marketing strategy:
Filter out the content noise
When a new TikTok video or a Facebook post is published, it joins
millions of other content pieces online. Algorithms function as
librarians, sorting and connecting users with their preferences. This
prevents overwhelming users with endless content and helps them find
what they like faster. Algorithms enable users to uncover valuable
posts, connect with like-minded individuals and explore their interests.
Show users more of what they’re interested in
Social media platforms use sophisticated algorithms to prolong user
engagement. These algorithms control content visibility, sequence and
recommendations based on user data like actions, behaviors and
interests. For instance, if you interact with gadget-related posts,
you’ll see more of such content. This personalization improves user
engagement and in turn, creates a positive user experience.
Personalize user experience
Today, users have greater control over their content experience.
Algorithms leverage data to personalize content recommendations. On
platforms like Instagram, you can customize your feed by hiding posts,
filtering comments, or selecting “Not interested” to curate your content.
Maximize organic reach
Understanding social media algorithms can boost your online social
presence. As more users find your content, the algorithm becomes better
at targeting users with similar interests. Creators and marketers can
optimize their content for algorithms to leverage its distribution
potential. When a post gains high engagement, the algorithm promotes it
to a wider audience.
Understanding how social media algorithms work
Understanding how social media algorithms work is like unraveling the
intricate threads that govern the digital tapestry of user experiences.
These algorithms, like invisible guides, determine the content on our
feeds. Let’s explore how social media algorithms function and how social
teams can take advantage of it.
Algorithms search for relevant and valuable content
Algorithmic-driven content curation systems such as the Facebook News
Feed and Instagram Feed monitor user behavior, interests and actions to
recommend relevant content. For instance, if you engage with basketball
content, you’ll likely see more of it.
These algorithms aim to refine content suggestions by adapting and
learning from user interactions, ensuring content remains relevant.
Signals and important factors social algorithms consider
Algorithms collect user signals to match them with relevant content. Key
signals include:
User engagement: Likes, shares and comments indicate that users find the
content interesting and relevant.
Relevance: Keywords and hashtags give content context and improve its
visibility.
Timing and frequency: Posting consistently and at the right time when
your audience is active can boost visibility.
Recency: Newer posts are prioritized over older ones.
User interactions: Accounts followed, interactions and click-through
rates on links signals relevance and content quality.
Profile authority: Follower count, consistency and engagement impact
organic reach.
Location: Algorithms take into account the location and demographics of
users when curating content. Content may be promoted to users in similar
locations.
Content type: Different content types, like videos, images and text, are
treated based on user interaction. Many platforms favor videos because
they’re more engaging.
Virality: Content gaining popularity and shares signals relevance to the
algorithm.
Watch time: This is the duration users spends watching videos (IG Reel,
YouTube Shorts)
--
Xeno
Nothing astonishes Noddy so much as common sense and plain dealing.
(with apologies to Ralph Waldo Emerson)