Abstract: An audience platform is disclosed. In a first example case, a first question is received. A preference event associated with the first question is received. A score is determined for the first question based at least in part on the preference. In a second example case, indications of a first and second potential interviewee are received. Preference events associated with the first and second potential interviewees are received. Scores are determined for the first and second potential interviewees based at least in part on the received preference events. A designated interviewee is selected based on the first and second scores. In a third example case, indications of a first and second potential awardee are received. Preference events associated with the first and second potential awardee are received. Scores are determined for the first and second potential awardees based at least in part on the received preference events.

Abstract: Evaluating an item based on user reputation information is disclosed. Sharing event data is received. A graph is materialized from the received sharing event data. User reputation scores are determined based at least in part on the graph. A score is assigned to the item based at least in part on the user reputation scores of users associated with the item.

Abstract: Generating an advertisement unit is disclosed. A selection of one or more content items is received. Each of the content items has an associated quality score. A representation of at least one of the content items is included in a generated advertisement. The advertisement also includes, for each included content item, an associated link configured to, when activated by a viewer of the advertisement, direct the viewer to an instance of the respective included content item.

Abstract: Determining an item to present to a first user is disclosed. Preference information is received that comprises the preferences of a plurality of users associated with one or more items. User correlations are determined from the received preference information. For the first user, a set of other users most correlated with the first user is determined. One or more items are presented to the first user based at least in part on the preferences of the other users.

Abstract: Selecting an advertisement is disclosed. A preference event associated with a first advertisement is received from a first user. A quality score for the first advertisement is determined based at least in part on the received preference event. An advertisement fulfillment request is received. The request is responded to by selecting an advertisement based at least in part on the quality score of the first advertisement.

Abstract: Displaying a preference by a user of a content contribution is disclosed. A preference event by the user is detected. A plurality of detected events is stored. In response to a query from a client, at least a portion of the stored detected events is stored. At least a portion of the received events is displayed in an interface.

Abstract: Displaying a preference by a user of a content contribution is disclosed. A preference event by the user is detected. A plurality of detected events is stored. In response to a query from a client, at least a portion of the stored detected events is stored. At least a portion of the received events is displayed in an interface.