Facebook, Inc.

Meta Platforms, Inc.

Mari Sheibley

Shilpa Sarkar

Lu D Chen

David Clyde Chiles

Udeepta Dutta Bordoloi

Jaed Uavechanichkul

Hai Wang

Sergii Demianov

William Samuel Bailey

Yue Zhao

Lukas Camra

Ang Li

Yu Wang

Vincent Yu-Shien Chen

Nayeon Kim

Ankur Sadhoo

Rohan Roy Choudhury

Aman Jain

Systems, methods, and non-transitory computer-readable media can determine that a broadcaster of a first live content stream has identified at least one user of a social networking system to join as co-broadcaster. A merged live content stream is published through the social networking system, the merged live content stream including the first live content stream of the broadcaster and a second live content stream associated with the at least one identified user. At least one notification is sent to one or more other users of the social networking system. The notification informs the one or more other users about the merged live content stream.

Systems and methods for shared broadcasting

The present disclosure relates to systems, non-transitory computer-readable media, and methods for generating accurate digital media clusters corresponding to predicted distribution classes from a repository of digital media based on network distribution history. For example, a digital media clustering system can apply machine learning models at a remote server (based on network distribution history of a network account of a user) to generate predicted distribution classes for future electronic communications. The remote server can provide the predicted distribution classes to a user client device for secure local analysis of digital media stored at the client device. Based on the predicted distribution classes and the stored digital media, the client device can suggest digital media items to distribute via a networking system. Thus, the disclosed system can surface digital media content without providing any information regarding the digital media items stored at the client device to a remote server.

Generating digital media clusters corresponding to predicted distribution classes from a repository of digital media based on network distribution history

Systems, methods, and non-transitory computer-readable media can determine that broadcasting of a live content stream has concluded. The concluded live content stream is converted to a post live media content item. The post live media content item corresponding to the concluded live content stream is published through the social networking system. The post live media content item remains accessible through the social networking system for a pre-determined period of time.

Systems and methods for surfacing content

Growing community of inventors

San Francisco, CA, United States of America

Mari Sheibley