Facebook, Inc.

Meta Platforms, Inc.

Weidong Wang

Spencer Powell

Patrick James Kemp

Roshan Umesh Goli

Liang Xu

Chaochao Cai

Erjie Ang

Yongfeng Liu

A social networking system maintains characteristics with its users, with various characteristics, such as age, specified by the users (i.e., 'asserted characteristics'). The social networking system selects content for a user based at least in part on the characteristics associated with the user. To account for potential inaccuracies in an asserted age of a user, the social networking system clusters users based on ages of other users connected to users. The online system receives verified ages for users in a cluster from a trusted third party system that maintains more accurate characteristics for users than the social networking system. By comparing the asserted ages for users in the cluster to the verified ages for users in the cluster, the social networking system determines an accuracy of the asserted ages for users in the cluster. The accuracy may be used when selecting content for the users.

Determining accuracy of characteristics asserted to a social networking system by a user

An online system maintains characteristics for its users and may access characteristics of users maintained by a third party system. The online system may select content for a user of the third party system based on characteristics maintained by the third party system. If the third party system does not maintain a characteristic for its users, the generates a model predicting the characteristic for third party system users based on a set of online system users identified based on characteristics of third party system users. The online system clusters third party system users based on the predicted characteristic for other third party system users connected to the third party system user. Using verified characteristics for third party system users from a trusted third party system, the online system determines an accuracy of the predicted characteristic for third party system users in a cluster.

Predicting characteristics of users of a third party system that communicates with an online system and determining accuracy of the predicted characteristics

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San Jose, CA, United States of America

Weidong Wang