Algorithmic curation

Imagine you have a big box of toys to play with, but you only like playing with certain toys that you really enjoy. Algorithmic curation is like having a friend who sorts through all the toys in the box and picks out the ones they think you'll like the most, so that you don't have to waste time looking through all the toys yourself.

In the same way, algorithmic curation is a process used by websites and apps like social media platforms to help show you content that you're most likely to enjoy or find helpful. Rather than showing you every single post or article on a platform, the algorithm takes into account different factors like what you've clicked on in the past, what you've liked, shared or commented on, and what other users similar to you have interacted with. Based on this information, the algorithm ranks and prioritizes content to show you the most relevant and engaging posts or articles.

So, when you see a Facebook post or a YouTube video recommended specifically for you, it's likely because an algorithm has predicted that you'll enjoy it based on your past behavior. Algorithmic curation helps make the internet more personalized and efficient, and saves you time by sorting through the overwhelming amount of content available to present you with the things you're most likely to be interested in.