Social Media applications are those applications where you get a collection of features based on communication, interaction, content creation, and collaboration. Facebook, Instagram, Youtube, and Twitter are some of the popular social media applications today. Every social media application uses Data Science to provide a better user experience. So if you want to know about the uses of Data Science in social media, this article is for you. In this article, I will take you through some of the use cases of Data Science in social media.
Use Cases of Data Science in Social Media
Below are some of the use cases of Data Science in social media that will help you in understanding the uses of Data Science on social media platforms.
Recommending Content and Users
Every social media platform recommends content based on your interest. For example, Facebook and Instagram recommend photos and short videos, Twitter recommends tweets, and Youtube recommends videos.
All social media platforms have your data about what topics and kind of content you want to see on which platform. These applications use your data like:
- the content you liked
- the type of content you interact with the most
- the kind of users or creators you follow
- your attention span on different types of content, and much more.
The recommendation system of every social media platform uses your data to recommend the content and the users you will find interesting. It helps in providing a better user experience.
User Based Advertising
Social Media platforms don’t charge any cost to download them from the Google Play store or Apple’s App Store. These applications also don’t have any subscription plans. So how do they earn? They show you ads based on your interests.
Social media platforms have a very high user base. They have users of every kind. So it’s easy for every business (whether big or small) to promote their services on a platform where they can find their target audience.
Social media apps use your data, including your search history, to show ads based on products and services that interest you.
Language Translations
The language translation feature is not available on every social media platform. Facebook, Instagram, and LinkedIn have language translation feature that allows a user to read a piece of text written in any language in English.
These platforms have so much data about the content that is shared daily. They use that data to improve their language translation models to provide better translations to their users. It helps in providing a better user experience.
Summary
So these were some of the use cases of Data Science in social media. Social Media applications are those applications where you get a collection of features based on communication, interaction, content creation, and collaboration. Every social media application uses Data Science to provide a better user experience. I hope you liked this article on the use cases of Data Science in social media. Feel free to ask valuable questions in the comments section below.
