Facebook, Inc.

Whatsapp Inc.

Matthew Knight Jones

Yue Zhang

Jonathan H Frank

Allan Stewart

Christopher William Palow

Zhuo Li

Andrei Bajenov

Apoorvavarsha Havanur

Nicole Laura Reid

Yunnan Wu

Peter Avelino Ruibal

Alok Menghrajani

Alok Menghranjani

Clement Genzmer

A server receives a request for a business account with the messaging system that includes a business name and a contact point. The server determines whether users of the messaging system associate the business name with the contact point. The server also determines whether the business name and/or the contact point has characteristics consistent with the request originating from a genuine business. The business account is validated if users of the messaging system associate the business name with the contact point and at least one of the business name or the contact point have characteristics consistent with the request originating from a genuine business. The business account profile is updated to indicate it is verified. Client devices are adapted to display messages from the business account in conjunction with a visual indicator that the business account is verified.

Verifying users of an electronic messaging system

A server receives an instruction to verify that a contact point (e.g., a phone number) is associated with a name. A set of users that have the contact point stored in a contact list on the server is identified and client devices associated with the users in the set are sent a name verification query. The name verification query includes a representation of the name and the contact point. The server receives a set of one or more matching scores from each of at least a subset of the client devices. The set of matching scores received from a given client device indicates a degree to which a name stored in association with the contact point in the client device's local address book matches the representation of the name. A determination is made as to whether the contact point is associated with the name based on the received matching scores.

Verifying a correlation between a name and a contact point in a messaging system

User login information submitted as part of an attempt to log into a computer system is evaluated for unauthorized or illegitimate use based on indicators of suspicious behavior. Example indicators of suspicious behavior include whether the login information is known to have been compromised, whether the login attempt originates from a network source or a physical source that has previously originated an attempt to log in using login information known to have been compromised, and whether multiple login attempts using the login information from multiple users has originated from the source. A suspicion index can be calculated based on the presence of the indicators of suspicious behavior. The system can require enhanced authentication based on the measurement of suspicious behavior.

Preventing unauthorized account access using compromised login credentials

A prediction is calculated to determine whether a content item posted on a social networking system infringes on copyrights or otherwise violates the system's terms of use. The predictions are generated using social signals that are based on social information surrounding the content item, such as the density of connections between the posting user and the viewing users, the profile information of the users, and the geographical separation between the users. The content item is disabled if the prediction indicates a violation and the violation can be verified.

Using social signals to identify unauthorized content on a social networking system

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Redwood City, CA, United States of America

Matthew Knight Jones