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Whatsapp Introduce Meta AI

 Meta AI and other characters on WhatsApp are optional services from Meta that can answer your questions, teach you something, or help come up with new ideas. You can choose to chat with Meta AI or choose from other characters with their own personalities and interests. Meta provides the generative AI technology that powers AI experiences on WhatsApp. Learn about AI experiences on WhatsApp in this article. Note: This feature is currently only available in limited countries and might not be available to you yet. At this time, only English is supported. You can: Have conversations with Meta AI and other characters Chat with Meta AI in existing group chats Ask questions and get helpful recommendations Talk about shared interests Interact with their content Create AI-generated images in chats Messages from Meta AI and other characters are generated by artificial intelligence (AI), using a service from Meta, in response to the prompts you send to the AI. Learn how Meta uses information ...

UNDERSTAND HOW THE YOUTUBE ALGORITHM WORKS

Do you want more views on YouTube? Do you want to grow your subscriber base and drive more people to your business? If so, you need to understand how the YouTube algorithm works. 81% of YouTube users say they watch videos suggested by the YouTube search algorithm. The recommendation algorithm drives 70% of all views on the platform. It’s a fundamental component of YouTube, and as a creator, you can’t ignore it.

Like most search engines, YouTube isn’t entirely transparent about their algorithm. They don’t want creators to know exactly how it works, otherwise those creators would create content that serves the algorithm, not their viewers. Nevertheless, through careful study and experimentation, and some comments by the team at YouTube, we know a bit about the algorithm’s process.

In this article, we’ll shed some light on how YouTube algorithm works and how you can use it to your advantage when starting your YouTube channel.


What is the YouTube Algorithm?

The YouTube algorithm is a set of computer processes used by YouTube to determine which videos to display and


recommend to users. This algorithm aims to keep users engaged on the platform by offering them content tailored to their preferences and viewing history.

The specifics of the algorithm are proprietary to YouTube and are not disclosed fully to the public. However, through observations and statements from YouTube, we know it involves factors like watch time, user feedback, video freshness, channel authority, and more.

The YouTube algorithm is continuously evolving. The platform makes regular changes to how content is recommended and ranked based on a multitude of factors. This means strategies that work at one time might not be as effective in the future.

As a content creator, it’s important to understand the algorithm so you can produce high quality, engaging content that resonates with your audience and makes it into their feed.

Brief History of the YouTube Algorithm

Before we dive into how the YouTube algorithm Works today, let’s take a short walk through history.

2005 to 2011

In the beginning, YouTube didn’t have an algorithm. Recommendations were based on views. During this period, YouTube’s algorithm prioritizes videos to get the most clicks. This is the beginning of the clickbait era. Some creators would use misleading or deceptive titles and thumbnails to convince you to click on their videos, thereby bringing their content to the top.

2012 to 2014

YouTube reengineers the algorithm to focus on watch time and percent-of-video completion. Some creators focused on long-form content to secure more watch time. other creators focused on short-term content to achieve better percent-of-video completion. Unfortunately, it did not make the overall quality any better.

2015

2015 was a big year. YouTube invested deeply into data science to invent a new way of suggesting content to users. Instead of using overall popularity and other broad metrics, YouTube would now recommend content based on user preferences and behavior. For the first time, how you interact with YouTube determines the content you see.

2016

2016 was the beginning of content moderation. This is when YouTube began to take deliberate steps to remove harmful content and misinformation. creators are now subject to community guidelines or risk having their content demonetized or removed.

How Does the YouTube Algorithm Work in 2023?

YouTube pushes videos to users based on user feedback. User feedback can be explicit, such as clicks, likes, or subscriptions, or implicit, such as watch time and shares.

Interestingly, YouTube doesn’t evaluate the content at all, just how people interact with it. “Our algorithm doesn’t pay attention to videos; it pays attention to viewers. So, rather than trying to make videos that’ll make an algorithm happy, focus on making videos that make your viewers happy,” says YouTube.

Over time, YouTube builds a profile on each user. Artificial intelligence models and machine learning use that profile to sort content and show you options that you’re likely to engage with. Here’s the two-step process that explains how it works.

Step 1: Candidate Generation: The algorithm picks out a few hundred videos from their entire library of billions of videos. The candidates reflect the user’s demographic data, as well as explicit and implicit feedback.

Step 2: Ranking Video Candidates: Now that YouTube has a bank of videos you’d like, it ranks them by engagement. Videos with more views, likes, shares, and comments get a higher score. Then the platform offers videos to you based on that score. (Some randomness is built-in so you don’t get bored.)

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