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: 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: Recording a user's preference for content is disclosed. A first indication that a user has a first preference for the content is received. In response to receiving the first indication, the content is associated with the first preference. A second indication that the user has a second preference for the content is received. In response to receiving the second indication, the content is additional associated with the second preference.

Abstract: Recording a user's preference for content is disclosed. An indication of a problem associated with the content is received, in response to only a single action taken by a user interacting with a web page. After receiving the indication, at least a portion of the web page is continued to be displayed.

Abstract: Indicating preference for a content contribution is disclosed. A request for information associated with the content contribution is received from a first entity. The status of the content contribution is determined. A response is provided to the first entity. Determining the status of the content contribution includes determining whether a submission of the content contribution was previously received.

Abstract: Detecting, for a content item, associated preference events is disclosed. For the content item, a plurality of preference events from a plurality of users is received. The received preference events are accumulated. Associated events are detected. The effect of the events is reduced when assigning a status to the item.

Abstract: Indicating preference for a content contribution is disclosed. A request for information associated with the content contribution is received from a first entity. The status of the content contribution is determined. A response is provided to the first entity. Determining the status of the content contribution includes determining whether a submission of the content contribution was previously received.

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: Accepting a third party news article submission is disclosed. A first submission, including a first URL of a first news article that is different from a second URL of a previously accepted second news article submission, is received. One or more automated checks are performed on at least a portion of the first submission. Whether to accept the first submission is automatically determined based at least in part on the performed checks.

Abstract: Detecting one or more preference events is disclosed. A rule defining a set of conditions associated with a set of preference events to be detected is received. An indication that one or more preference events has occurred is received. It is determined whether the set of conditions included in the rule has been met. If the set of conditions has been met, an alert is generated.

Abstract: Recording a first user's preference for a content contribution submitted by a second user is disclosed. In response to only a single action taken by the first user interacting with a web page, an indication is received that a preference event occurred. The preference event is associated with the content contribution. Information associated with the first user's profile is updated. At least of a portion of the web page is continued to be displayed to the user after receiving the preference event.

Abstract: Displaying a preference by a first user of a content contribution submitted by a second user is disclosed. A preference event by the first 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 caused to be rendered graphically.

Abstract: Recording a user's preference for content is disclosed. A first indication that a user has a first preference for the content is received. In response to receiving the first indication, the content is associated with the first preference. A second indication that the user has a second preference for the content is received. In response to receiving the second indication, the content is additionally associated with the second preference.

Abstract: Detecting, for a content item, associated preference events is disclosed. For the content item, a plurality of preference events from a plurality of users is received. The received preference events are accumulated. Associated events are detected. The effect of the events is reduced when assigning a status to the item.

Abstract: Recording a user's preference for content is disclosed. An indication of a problem associated with the content is received, in response to only a single action taken by a user interacting with a web page. After receiving the indication, at least a portion of the web page is continued to be displayed.

Abstract: Promoting a candidate content item included in a plurality of content items is disclosed. A plurality of user reputation scores is received. For the candidate content item in the plurality of candidate content items, a content reputation score is determined based at least in part on a portion of the received user reputation scores. A determination of whether to promote the candidate content item is made based at least in part on the content reputation score and a dynamically adjusted threshold. The candidate content item is promoted if it is determined that the candidate content item should be promoted.

Abstract: Indicating preference for a content contribution is disclosed. A request for information associated with the content contribution is received from a first entity. The status of the content contribution is determined. A response is provided to the first entity. Determining the status of the content contribution includes determining whether a submission of the content contribution was previously received.

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: Promoting a candidate content item included in a plurality of content items is disclosed. A plurality of user reputation scores is received. For the candidate content item in the plurality of candidate content items, a content reputation score is determined based at least in part on a portion of the received user reputation scores. A determination of whether to promote the candidate content item is made based at least in part on the content reputation score. The candidate content item is promoted if it is determined that the candidate content item should be promoted.

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.