Abstract: Systems, methods, and non-transitory computer-readable media can identify a verified entity who is verified based on a verification process. A set of questions directed to the verified entity can be received from a set of question providers. The set of questions can be ranked based on question ranking criteria. At least one response to at least one question in the set of questions can be received from the verified entity. Access to the at least one response can be provided.

Abstract: Systems, methods, and non-transitory computer readable media configured to determine content postings associated with authorities relating to a trending topic. Content postings associated with eyewitnesses regarding events relating to the trending topic are determined. Media content items of content postings associated with the eyewitnesses are determined. Metadata associated with content items relating to the trending topic are determined. A user interface for presenting the content postings associated with authorities, the content postings associated with eyewitnesses, the media content items, and the metadata is generated.

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: Systems, methods, and non-transitory computer-readable media can identify a verified entity who is verified based on a verification process. A set of questions directed to the verified entity can be received from a set of question providers. The set of questions can be ranked based on question ranking criteria. At least one response to at least one question in the set of questions can be received from the verified entity. Access to the at least one response can be provided.

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: Systems, methods, and non-transitory computer-readable media can receive an indication that a user is attempting to authenticate as a particular identity. A media content item captured using a front-facing device camera can be acquired. The media content item can include graphical data representing the user. The graphical data can be analyzed, at least in part, to produce a confidence score representing a likelihood that the user corresponds to the particular identity. The user can be authenticated as the particular identity when the confidence score at least meets a specified authentication threshold.

Abstract: Systems, methods, and non-transitory computer-readable media can identify a verified entity who is verified based on a verification process. A set of questions directed to the verified entity can be received from a set of question providers. The set of questions can be ranked based on question ranking criteria. At least one response to at least one question in the set of questions can be received from the verified entity. Access to the at least one response can be provided.

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: 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 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 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: 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: 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: Systems, methods, and non-transitory computer-readable media can receive an indication that a user is attempting to authenticate as a particular identity. A media content item captured using a front-facing device camera can be acquired. The media content item can include graphical data representing the user. The graphical data can be analyzed, at least in part, to produce a confidence score representing a likelihood that the user corresponds to the particular identity. The user can be authenticated as the particular identity when the confidence score at least meets a specified authentication threshold.

Abstract: Systems, methods, and non-transitory computer-readable media can acquire a topic for which associated content is to be provided. A set of content items that are associated with the topic can be identified. The set of content items can be ranked based, at least in part, on time data associated with the set of content items. A subset of content items can be selected out of the set of content items. In some instances, the subset of content items can be selected to include an amount of highest ranked content items. The subset of content items can be provided in real-time.