Twitter Recommendations Algorithm is now open source

By Aayush

Elon Musk made Twitter’s recommendation algorithm code open source this Friday (31), fulfilling his promise to make it available on GitHub.

It was announced on Elon Musk’s profile this morning (31) that the code for the social network would be made public. The announcement was brief but expected since Musk promised to reveal the network’s structure months ago.

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Through it, users can examine how Twitter recommends posts, profiles, communities, and other subjects in the “For you” feed and other platform areas. The ‘algorithm’ is too complex and not fully understood internally, explained Musk. “People will find many silly things, but we’ll correct them as soon as they’re found.”

It is worth remembering that the Twitter algorithm had previously leaked. The social network structure was published on GitHub without authorization between January and March of this year, causing the company to file a lawsuit to determine who was responsible.

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Twitter more transparent

With the Twitter code (or part of it) released, users can participate more directly in developing the social network. Developers can study the platform in greater depth and offer suggestions for improvement.

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In addition, greater transparency could assist Twitter in overcoming accusations of content manipulation. If Twitter’s code makes up the platform today, users will find indications that publications can be controlled.

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It won’t be very pleasant at first, but it should improve the quality of content recommendations. Most importantly, we hope to earn your trust.”

The Twitter algorithm is available on GitHub

Anyone can check out the Twitter algorithm code on GitHub. The files are stored in the company’s official repository.

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Aayush is a B.Tech graduate and the talented administrator behind AllTechNerd. . A Tech Enthusiast. Who writes mostly about Technology, Blogging and Digital Marketing.Professional skilled in Search Engine Optimization (SEO), WordPress, Google Webmaster Tools, Google Analytics
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