Abstract: In one embodiment, a method includes retrieving comments associated with a content object on a social-networking system, determining a score for each of the comments, where the score is based on one or more signals associated with the comment, the signals are related to one or more audience interactions with the comment, and each of the audience interactions includes an interaction by a respective audience member with the comment. The method further includes ordering the comments based on the respective scores, and presenting the ordered comments to a target user. Each of the audience interactions may include one or more responses to the audience interaction by an author of the comment. The signals may be based on existence of an edge between a user node representing the audience member and a user node representing an author of the comment in a social graph on the social-networking system.

Abstract: In one embodiment, a method includes retrieving a set of comments associated with one or more content objects in a social-networking system, determining a score for each of the comments for a selected one of the content objects, where the score for each of the comments is based on signals associated with the comment, and the signals are related to a history of user interactions by a target user with the comments in the set, ordering the comments for the selected content object based on the respective scores, and presenting the ordered comments to the target user. The content objects may be presented in a newsfeed for the target user. The signals may be based on a history of user interactions by other users with the comments in the set, where the other users are connected to the target user in the social-networking system.

Abstract: A first set of posts associated with a verified entity can be identified. A second set of posts associated with the verified entity and with one or more particular topics can be identified. At least a first subset of the first set of posts and at least a second subset of the second set of posts can be ranked to produce a ranked set of posts that are associated, at least in part, with the verified entity. The verified entity can be provided with access to at least some posts in the ranked set of posts. Moreover, a canonical post authored by a verified entity can be identified. It can be determined that one or more subsequent posts have at least a specified threshold level of relevance with respect to the canonical post. The verified entity can be provided with access to the one or more subsequent posts.

Abstract: A first set of posts associated with a verified entity can be identified. A second set of posts associated with the verified entity and with one or more particular topics can be identified. At least a first subset of the first set of posts and at least a second subset of the second set of posts can be ranked to produce a ranked set of posts that are associated, at least in part, with the verified entity. The verified entity can be provided with access to at least some posts in the ranked set of posts. Moreover, a canonical post authored by a verified entity can be identified. It can be determined that one or more subsequent posts have at least a specified threshold level of relevance with respect to the canonical post. The verified entity can be provided with access to the one or more subsequent posts.

Abstract: In one embodiment, a method includes retrieving a plurality of comments associated with a content object on a social-networking system, determining a score for each of the comments, wherein the score is based on one or more signals associated with the comment, and where the signals are related to the identity of an author of the comment or content of the comment, ordering the comments based on the respective scores, and presenting one or more of the ordered comments to a target user. The method may further include excluding one or more of the comments based on a filtering condition. One of the signals may be based on how many times the comment has been (a) liked, (b) hidden, (c) marked as spam, or (d) replied to within a specified period of time. One of the signals may be based on a reputation of the author of the comment.

Abstract: In one embodiment, a method includes retrieving a plurality of comments associated with a content object, determining a score for each of the comments, where the score is based on one or more signals associated with the comment, and where the score is further based on a qualitative analysis of each of one or more impressions related to the comment, and wherein each of the impressions comprises an interaction by a historical user with the comment, ordering the comments based on the respective scores, presenting one or more of the ordered comments to a target user. The qualitative analysis may determine a category of interaction for the impression, the score may be based at least in part on the category of interaction, and the category of interaction may include user input related to the comment, such as a reply to the comment.

Abstract: Exemplary methods, apparatuses, and systems generate a civic graph of users within a communication system. Using connections formed within the civic graph, the communication system recommends additional connections between nodes representing constituents and nodes representing political office holders. For example, a request is received from a first user of a communication system to interact with a second user of the communication system. A first node representing the second user is determined to be connected to a second node representing a political office by a first edge, the first edge representing that the second user holds the political office represented by the second node. In response to the received request and the determination that the second user holds the political office, a recommendation is transmitted to the first user, including one or more interface objects enabling the first user to interact with another political office holder in the civic graph.

Abstract: Exemplary methods, apparatuses, and systems generate a social ballot for users within a communication system. Using interactions performed by users within the communication system, the communication system generates a social ballot for a user that includes political questions impacting the user. For example, the communication system identifies users that are impacted by the political issue. The communication system determines a response to a question regarding the political issue for a first user and determines whether a connection between the first user and a second user also impacted by the political issue meets a threshold level of affinity. When the connection between the first user and the second user meets the threshold level of affinity, the communication system generates a ballot for the second user that includes the question regarding the political issue and the response for the first user, and transmits the ballot to the second user.

Abstract: In one embodiment, a method includes retrieving a set of comments associated with one or more content objects in a social-networking system, determining a score for each of the comments for a selected one of the content objects, where the score for each of the comments is based on signals associated with the comment, and the signals are related to a history of user interactions by a target user with the comments in the set, ordering the comments for the selected content object based on the respective scores, and presenting the ordered comments to the target user. The content objects may be presented in a newsfeed for the target user. The signals may be based on a history of user interactions by other users with the comments in the set, where the other users are connected to the target user in the social-networking system.

Abstract: In one embodiment, a method includes retrieving comments associated with a content object, determining one or more labels for each of the comments, where the labels for each comment are determined by a text classifier based on content associated with the comment, determining a score for each of the comments, where the score is based on one or more signals associated with the comment, and the signals are related to the labels associated with the comment. The method further includes ordering the comments based on the respective scores and presenting one or more of the ordered comments to a target user. A classifier algorithm may be applied to each comment to determine the one or more labels, where the classifier algorithm is trained to identify the one or more labels. Each signal may have a value based on a degree to which the label applies to the comment.

Abstract: In one embodiment, a method includes retrieving a plurality of comments associated with a content object, determining a score for each of the comments, where the score is based on one or more signals associated with the comment, and where the score is further based on a qualitative analysis of each of one or more impressions related to the comment, and wherein each of the impressions comprises an interaction by a historical user with the comment, ordering the comments based on the respective scores, presenting one or more of the ordered comments to a target user. The qualitative analysis may determine a category of interaction for the impression, the score may be based at least in part on the category of interaction, and the category of interaction may include user input related to the comment, such as a reply to the comment.

Abstract: In one embodiment, a method includes retrieving a plurality of comments associated with a content object on a social-networking system, determining a score for each of the comments, wherein the score is based on one or more signals associated with the comment, and where the signals are related to the identity of an author of the comment or content of the comment, ordering the comments based on the respective scores, and presenting one or more of the ordered comments to a target user. The method may further include excluding one or more of the comments based on a filtering condition. One of the signals may be based on how many times the comment has been (a) liked, (b) hidden, (c) marked as spam, or (d) replied to within a specified period of time. One of the signals may be based on a reputation of the author of the comment.

Abstract: In one embodiment, a method includes retrieving comments associated with a content object on a social-networking system, determining a score for each of the comments, where the score is based on one or more signals associated with the comment, the signals are related to one or more audience interactions with the comment, and each of the audience interactions includes an interaction by a respective audience member with the comment. The method further includes ordering the comments based on the respective scores, and presenting the ordered comments to a target user. Each of the audience interactions may include one or more responses to the audience interaction by an author of the comment. The signals may be based on existence of an edge between a user node representing the audience member and a user node representing an author of the comment in a social graph on the social-networking system.

Abstract: A first set of posts associated with a verified entity can be identified. A second set of posts associated with the verified entity and with one or more particular topics can be identified. At least a first subset of the first set of posts and at least a second subset of the second set of posts can be ranked to produce a ranked set of posts that are associated, at least in part, with the verified entity. The verified entity can be provided with access to at least some posts in the ranked set of posts. Moreover, a canonical post authored by a verified entity can be identified. It can be determined that one or more subsequent posts have at least a specified threshold level of relevance with respect to the canonical post. The verified entity can be provided with access to the one or more subsequent posts.

Abstract: A first set of posts associated with a verified entity can be identified. A second set of posts associated with the verified entity and with one or more particular topics can be identified. At least a first subset of the first set of posts and at least a second subset of the second set of posts can be ranked to produce a ranked set of posts that are associated, at least in part, with the verified entity. The verified entity can be provided with access to at least some posts in the ranked set of posts. Moreover, a canonical post authored by a verified entity can be identified. It can be determined that one or more subsequent posts have at least a specified threshold level of relevance with respect to the canonical post. The verified entity can be provided with access to the one or more subsequent posts.