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Social Media Algorithm | Cortexom Innovation

What Are Social Media Algorithms??

Social Media :
Social media is a collective term for websites and applications
which focus on communication, community-based input,
interaction, content-sharing and collaboration. Forums,
microblogging, social networking, social bookmarking, social

curation, and wikis are among the different types of social media.
Many individuals will use social media to stay in touch and
interact with friends and family, while others use it to
communicate with different communities.
An example of social networking is Facebook. An example of social
networking is a family, a neighborhood, a religious organization or a
sports team.
Algorithms :
In mathematics and computer science, an algorithm is a
finite sequence of well-defined, computer-implementable
instructions, typically to solve a class of problems or to
perform a computation.
Simple Algorithm Examples for Beginners. Famous examples of
algorithms are often taught to beginning computer scientists and
programmers. Some examples are Dijkstra’s Algorithm, which is used in
graph theory to find the shortest path between two points; Merge Sort,
which is used to sort lists of data; and the RSA Algorithm used to encrypt

Social Media Algorithms:

Social media algorithms are a way of sorting posts in a user’s
feed based on relevancy instead of publishing time. Social
networks prioritize which content a user sees in their feed first by
the likelihood that they’ll actually want to see it.

Uses Of Social Media Algorithms :
An algorithm is a mathematical set of rules specifying how a group of data
behaves. In social media, algorithms help maintain order, & assists in
ranking search results & advertisements. On Facebook, for Example, there
is an algorithm which directs pages & content to display in a certain order.
Today Work Of Social Media Algorithm :
Each social media network has a unique set of technical elements, intricate
logic, and usage analytics that make up the algorithm that delivers content
to its users. Seen in the fluctuation of social media algorithms in the past,
the biggest consideration-or debate-is balancing personal relevance with
post timeliness. `
These algorithms are managed by dedicated teams of software engineers,
data scientists, content strategists, and more, so nothing you see is an
accident. Here’s a look inside the criteria and priorities that Facebook,
Instagram, Twitter, and LinkedIn use to surface content and updates in

users’ personal feeds and search results-and what it all means for your
social media strategy.
Facebook Prioritizes Meaningful Interactions :
Facebook’s latest algorithm update, which they announced in January 2018,
now puts posts “that spark conversations and meaningful interactions
between people” at the top of your News Feed. This means the content that
receives the most engagement-reactions, comments, and shares-will be the
Facebook keeps a historical account of your personal engagement with
posts by friends and brand pages, and the Facebook News Feed algorithm
also predicts what you want to see based on those past interactions with
friends or brands. Then, it aims to put similar posts upfront in your News
Feed from the same people and pages and from those with relevant posts or
According to Facebook, it defines engaging content and “meaningful
interactions” based on:
● Comment Activity:
Back-and-forth comments on posts or a news article or video prompting
lots of discussion.
● Interactive Posts:
Posts that you might want to share and react to, such as :
● A post from a friend looking for advice.
● A friend asking for trip recommendations.
With all the technical details considered, here’s each social media
network’s default feed algorithm primary criterion (excluding
custom user settings):

● Facebook: Relevance
● Instagram: Timeliness
● Twitter: Relevance

Since relevance is the most common factor, let engagement metrics
lead your social media strategy. Even though Instagram is all about
post timing, you’re more likely to appear in Instagram Search if your
posts get a lot of likes and comments.
This is the current state of social media algorithms, but you never know
when the next optimization might come and change it all. So follow each
network’s news and engineering blogs, and stay alert.
Why Are Social Media Algorithms So Controversial ?

Well, much of the reason why algorithms are so controversial is because of their
impact on reach.

There are plenty of instances of algorithms seemingly “hiding” content on Facebook
at random despite being optimized to a T. On the flip side, there’s a well-documented
phenomenon on YouTube of videos surging to millions of views out of nowhere after
being recommended to seemingly random viewers.

Oh, and algorithms are constantly evolving, attempting to work out the kinks and

provide the best user experience possible. As a result, marketers have to consistently
adapt to ’em. This means consistently experimenting with content and changing up
marketing strategies.
Why do social media algorithms exist?

There is a ton of content floating around in the social space. Like, thousands
of posts, photos and videos published per minute.

Without social media algorithms, sifting through all of this content on an
account-by-account basis would be impossible. Especially for users
following hundreds or thousands of accounts on a network, so algorithms do
the legwork of delivering what you want and weeding out content that’s
deemed irrelevant or low-quality.
Has Social Media Changed Their Algorithm ??

Yes, social media changes their their algorithm with the passage of
For social marketing professionals, it’s a constant challenge to stay up to
date with the latest changes on social media platforms.

Your social media strategy is the map that guides your social media
marketing plans for the upcoming campaign, quarter or year. You’ve planned
out the trip in a way that makes the most sense for your goals. Unfortunately,
when social media
platforms change their features, algorithms or other standards, it’s like
your route changed right in the middle of your journey–your map is no
longer up to date and you’re probably left lost, confused and unsure of how
to continue.
Fortunately, it’s possible for marketers to be prepared for social platform
changes. We’ll walk through what you need to know about recent changes
on social channels and what they tell us about the next year in social. Plus,
we’ll give you some tips on
how to react to social media changes and keep your campaigns moving
even when the unexpected occurs.

Here’s everything you need to know to be prepared for this year’s social
media updates and keep up with your strategy without missing a beat.
Social Platforms Trends

Trend In Past :
In 2009 we saw exponential growth of social media. According to Nielsen

Online, Twitter alone grew 1,382% year-over-year in February, registering a
total of just more than 7 million unique visitors in the US for the month.
Meanwhile, Facebook continued to outpace MySpace. So what could social
media look like in 2010? In 2010, social media will get even more popular, more
mobile, and more exclusive . With groups, lists and niche networks becoming
more popular, networks could begin to feel more “exclusive.” Not everyone can
fit on someone’s newly created Twitter list and as networks begin to fill with
noise, it’s likely that user behavior such as “hiding” the hyperactive updaters
that appear in your Facebook news feed may become more common. Perhaps
it’s not actually less social, but it might seem that way as we all come to terms
with getting value out of our networks .

Trend In Present :
As social platforms introduce new features and change their algorithms, social
media trends likewise undergo an evolution. Take Instagram Stories, for example.
A few years ago, Snapchat was known for its disappearing, FOMO-inducing
content, but there didn’t appear to be a wide appetite for similar features on other
networks. Now, over 500 million people use the feature daily on Instagram, and
more and more platforms are adding equivalent features. These rapid changes
present a whole new challenge for brands and social media marketers as they have
to constantly review their existing strategies and pivot to add new types of content
to their repertoire. Marketers continually have to keep an eye out for the latest
trends influencing the future of social media and evolve accordingly. If you’re
looking for the latest social media trends 2021 has in store for you, you’re in luck.
We’ve put together some of the top trends to watch to help you adapt and grow.

Trend In Future:

Social media will see a rise in the adoption of technologies like augmented reality
(AR) and virtual reality (VR). As these platforms grow, users will demand better
and more engaging experiences, and these technologies can make that happen.


Social media is an important venue for information sharing, discussions or
conversations on a variety of topics and events generated or happening across the
globe. Application of automated text summarization techniques on the large
volume of information piled up in social media can produce textual summaries in a
variety of flavors depending on the difficulty of the use case. This chapter talks
about the available set of techniques to generate summaries from different genres
of social media text with an extensive introduction to extractive summarization
techniques. A huge amount of social media data is generated daily as a result of the
interactions between subscribers of the social networking platforms. Subscribers
are characterized by diversity in background, geographical locations, opinions, etc.
Further, the diversity and pervasiveness of the data together with its social
characteristics make it an intriguing source for gauging the public opinion. Twitter
is one of the most famous and popular networking platforms. It provides a
micro-blogging environment in which subscribers can post and read short
messages called Tweets. In this paper, we propose a method for finding groups of
people who express similar ideas about a specific subject in their postings. We also
introduce an algorithm to label each group of users based on their postings. The
labels help us to get a more profound insight into the main opinion of each group.
The work described in this paper has high significance and a variety of practical

applications. Applicability and effectiveness of the proposed approach have been
demonstrated in a case study on the Tweets related to Royal Bank of Canada. The
reported results prove the viability and efficiency of our approach. Besides, the
proposed approach is generic enough to be adapted and applied to any type of
existing social media platforms to extract main ideas related to a specific subject.

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