5 Frequently Asked Questions About How YouTube Recommendation Algorithms Work
YouTube’s recommendation algorithms work a little differently than other social media platforms, because YouTube has its own kind of content.
Therefore, the way these algorithms work will not be the same as the way search engine algorithms work, for example, or Facebook’s algorithms.
Many YouTube creators are having a hard time understanding how these algorithms work, as they are not getting the results they want.
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So here are some of the most important and frequently asked questions to understand how YouTube’s recommendation algorithms work:
Should you share content outside of YouTube
A lot of content creators rely on sharing their content and clips outside of YouTube to other social media platforms.
This is like Facebook or Twitter and other various platforms in which you can publish your clips, and some think that the views coming through these platforms do not count for them.
But YouTube says that sharing content off the platform increases the chance of your channel being discovered within the platform and its search engine.
This is because you get more interaction with the channel when you share clips outside the platform, and this helps you inside the platform.
Why do users see recommendations for very old clips
YouTube connects users to clips they may like, regardless of when the clip was posted.
This means that old clips also have as much opportunity to reach viewers and users as new clips.
Does YouTube help creators reach new users
YouTube recently updated the application interface across phones and computers, to add a new feature called New To You.
This feature puts new clips in front of you other than the ones you’re used to and new content creators you’re not familiar with.
How to use hashtags on YouTube
YouTube’s recommendation algorithms rely on hashtags to be able to find out what this clip is about, and to send it to users who really need it.
But the platform says that these hashtags are not a huge or very influential factor in sending clips to the users who want them.
The platform advises content creators to focus on the factors affecting the reasons for choosing, clicking on and watching the clip, such as the title, avatar, and description.
Has YouTube’s recommendation algorithms changed recently
YouTube is always improving its algorithms, so they are constantly changing all the time.
But this question is always repeated at the same time every year, due to the return to schools in all countries around the world.
This effect appears in the lack of views during the school days and its increase in the days of school vacations and the end of the year seasons.
The viewership rate on YouTube is affected by the seasons and the changing style of users, so if there are a lot of vacations and shows, you will find the viewership rate increases compared to working days.
