A presentation about social media and their impact in our life

1. SOCIAL MEDIA ALGORITHMS

2. THIS IS WHAT HAPPENS IN AN
INTERNET MINUTE

3. Social media has changed the way we live our
lives. From the way we get our news to the way
we interact with our loved ones. Social media is
everywhere. It’s unavoidable, it’s powerful, and it’s
here to stay.

4. What is social media?

5. What percentage you think uses social media
worldwide?
A. 4.8 million people
B. 1.8 million people
C. 4.8 billion people
D. 1.8 billion people

6. There are 4.8 billion social media users worldwide,
representing 59.9% of the global population and 92.7%
of all internet users.
There were 150 million new social media users between
April 2022 and April 2023 – a 3.2% increase year-over-
year.

7. Percentage of teens using social media?
Surveys suggest that 90% of teenagers use social
media. Due to both the prevalence of teens getting
phones at a younger age combined with the addictive
nature of social media, this results in many teens
spending hours each day on social media.

8. Which do you think is the most usable
social media platform?
A. Instagram
B. Facebook
C. Youtube
D. Tik-Tok

9. The Top 10 Social Media Platforms Worldwide
1. Facebook (2.96 billion users)
2. YouTube (2.51 billion users)
3. WhatsApp (2 billion users)
4. Instagram (2 billion users)
5. WeChat (1.31 billion users)
6. TikTok (1.05 billion users)
7. Facebook Messenger (931 million users)
8. Douyin (715 million users)
9. Telegram (700 million users)
10. Snapchat (635 million users)

10. A social media algorithm is a complex set of rules and
calculations used by social media platforms to
prioritize the content that users see in their feeds.

12. It is based on how likely it is for every individual socia
media user to like and interact with it.
Algorithms are the reason why two social media users
will not see the same content, even if they are followin
the same accounts.

13. The algorithm of every social media platform is
different, but they are all based on machine learning
and a set of factors called ranking signals.

14. As the name implies, machine learning emphasizes the
continuous learning of machines to solve problems like humans.
Machine learning could enable automation of tasks, detection of
patterns, and learning from historical data.

15. RANKING SIGNALS
These are exactly what they sound like: signals used to rank the
value of each individual piece of content for each individual user.
Ranking signals are individualized because they are often based on
your previous interactions with the app.