The open source algorithm on GitHub how does it work?

[Dimaeiya333]

Open source and proprietary software are two different software distribution models . Proprietary software refers to software that is owned by a company or individual and is protected by copyright and other intellectual property laws. This is the case with platforms like Instagram or Facebook, where no one really knows how they work.

In the case of open source, the code is publicly available , as Elon Musk did when he released part of his source code on the GitHub platform, offering two repositories containing information about his recommendation algorithm for the “For You” section. This includes details about how the algorithm works and how the recommendation of posts in that section is generated. The information provided by Twitter on GitHub will allow developers, marketers and other interested parties to better understand how its recommendation algorithm works.

It is estimated that approximately 500 million tweets are shared on Twitter every day , so leaving the code open is a transcendental decision for users and influencers who now have exact tools to generate content that achieves maximum reach , both organic and paid, within the social network. However, although the code is open and is hosted in a repository, reading and understanding codes is a complex job that requires extensive programming knowledge.

Read also: 15 Twitter statistics for 2023

What is the Twitter timeline and how is it currently built?
To build the timeline of users on Twitter, the platform takes into account various factors such as user interest, relevance of content, recency of posts, user activity and account interactions. Twitter calls this timeline mechanism the “Home Mixer” .

User interest is determined by analyzing behavior on the platform, such as favorited tweets, followed accounts, searches, and overall activity. Content relevance is established by analyzing keywords, content type (text, images, video, etc.), and the popularity and engagement of posts.

Recency of posts is another important factor in determining a tweet's position in the timeline. Newer tweets are displayed at the top of the timeline, while older tweets are pushed down.

User activity, such as retweets and replies, is also used to partners email database determine a tweet's position in the timeline. If a tweet has a high engagement and activity rate, it is more likely to be shown in other users' timelines.

According to Twitter , the entire process described above takes about 1.5 seconds to complete and is executed 5 billion times a day.

Twitter Algorithm Ranking Signals
How to get Twitter to recommend your content? This is one of the most common questions among users of the platform. According to Twitter , the main factor is related to the accounts with which a user interacts the most, however, the social network has shared four keys that help us better understand its classification system:

1. Current or "recency" of the content
“Recency” refers to the newness of a tweet —that is, the time at which the tweet was posted relative to when a user is checking their timeline. Twitter prioritizes trends based on topics that are popular “now.”

All of these current events and topics can appear in a section at the top of your Home timeline called What's Happening.

The recency of content is important to Twitter’s algorithm ranking system because the platform wants to provide its users with fresh and relevant content in real time. Users expect to see the most recent tweets on topics they are interested in in their timeline.