Have you ever stopped to think about how each social network selects the publications on your home page?
This selection is based on the action of the logarithms.
But after all, what is a logarithm?
Historians disagree about the origin of the word algorithm, or even where its practice arose. But regardless of its actual etymology, the word refers to the systematic description of how to perform a task.
We can cite as an example of algorithms a culinary recipe, it has the necessary ingredients, step by step to make the recipe and the final dish, that is, the result.
When transferring the concept to information technology, it was reframed, as automated actions receiving input values (input) and producing output values (output).
In computer science, the concept of algorithm was formalized in 1936 by Alan Turing and Alonzo Church. They stated that an algorithm is an unambiguous and ordered set of executable steps that define a finite process.
They have contributed to the technological evolution seen in recent decades and are increasingly complex.
Computers work by responding to commands in a series of codes pre-set by algorithms. Usually when a computer crashes, the commands it received were not programmed to be carried out.
Each social network has its own algorithm and it is necessary to know the strategies and requirements of each one. Knowing how each algorithm works will help to improve your company's digital strategy.
Notice what the algorithm of each social network values:
Facebook:
Affinity:
It takes into account how many times someone likes, comments or shares a certain post, that is, the more you interact with the publications on a page, Edgerank (facebook algorithm) will understand that that content is relevant and give priority to it in your feed news. Facebook organically prioritizes friends' posts, leaving commercial publications in the background.
Weight:
Activities that spend more time with the user have more weight, for example, comments have more weight than likes.
Instagram:
- Number of likes and comments.
- Level of interaction in stories and who published the photo.
- Time of publication.
- Whether users exchange messages via direct.
YouTube:
YouTube has a logarithm that favors videos with the highest viewing average.
Linkedin:
- Profile reputation
- How other people engage with content.
- What's hot on the network.
But, it is important to remember that most social networks rely on the actions of the users themselves to determine the success of the content. So a publication that attracts a lot of engagement ends up having the opportunity to stand out.
Marketing on social networks needs to be highly strategic taking into account the particularities of each platform used.
Thus, monitoring the change that the algorithms undergo is essential to ensure good visibility to your content.
