Facebook, Inc.

Ami Vora

David Gross-Baser

Janaka Liyanage

Danilo Torres De Sa Resende

Srikant Ramakrishna Ayyar

Ajoy Joseph Frank

Wenrui Zhao

Louis Eisenberg

Eric Michel Giovanola

Mark E Zuckerberg

Gregory Joseph Badros

Gokul Rajaram

Kent Schoen

Hong Yan

Timothy A Kendall

Mark Rabkin

Eric Michael Giovanola

David Benjamin Fischer

A social networking system includes pages created by users for providing content related to topics of interest. An interaction engine captures data and maintains analytical information about how users interact with pages and posts. When a user takes an action such as liking a page or a post, the interaction engine updates the page's activity history to reflect the activity and information about the user who took the action. The interaction engine also measures the reach of pages and posts, by determining how and from where each user viewed the page and its contents. The interaction engine further tracks the community's interest in pages and posts by determining how many unique users create stories that include a page or its content. An insights module uses the data obtained by the interaction engine to synthesize graphical reports about page interactions and present the reports to page administrators.

Measuring page viewership in a social network

Third-party publishers (such as websites) provide online advertisements combined with social endorsement information to users. A request for an advertisement is received from a viewing user via a third-party publisher system. A particular advertisement is selected in response to this request, and one or more advertisement tags associated with the advertisement are retrieved. The advertisement tags comprise information related to the advertisement. Social networking system data for users related to the viewing user is retrieved. Social endorsement information is obtained using the social networking system data and the advertisement tags associated with the advertisement. The social endorsement information and the advertisement are then combined and transmitted to the third-party publisher system, or are transmitted individually for combination by the third-party publisher system.

Providing social endorsements with online advertising

A social networking system determines whether targeting criteria for an advertisement includes one or more sensitive criteria. The advertisement's targeting criteria is compared to one or more keywords or parameters associated with sensitive topics, such as sexual orientation, religious affiliation, political affiliation, or health status. If the targeting criteria matches one or more keywords or parameters associated with a sensitive topic, the social networking system determines that the targeting criteria includes sensitive criteria and prevents recordation of information regarding a viewing user's exposure to the advertisement.

Preventing collection of sensitive information by advertisers using targeting criteria

A system environment supporting one or more advertisers and one or more ad publishers provides a means of sharing user-targeted advertisement. One or more hashing modules in the system environment provide the advertisers and ad publishers a means of sharing this information without revealing a user's personally identifiable information (PII). If a lossy hash is chosen, then an advertiser can communicate targeted advertisements to an ad publisher without revealing any PII to the ad publisher that the ad publisher did not already know.

Protecting identities of users to whom advertising is targeted

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San Francisco, CA, United States of America

Ami Vora