Abstract: Systems, methods, and non-transitory computer-readable media can project data describing a set of media items from which a representative media item is to be determined. A medoid can be determined from the projected data. A media item corresponding to the medoid can be selected as the representative media item of the set of media items.

Abstract: Particular embodiments provide a plurality of image elements arranged in a display layout. When user input selecting one of the image elements is received, a first animation sequence for an information panel associated with the selected image element may be displayed, wherein the information panel swings down from a bottom edge of the selected image element. As the information swings down, the selected image element may also be enlarged until it reaches a pre-determined size with respect to a display of the computing device. In response to receiving user input dismissing the selected image element, another animation sequence may shrink the selected image element while showing the information panel swinging up and eventually disappearing.

Abstract: Systems, methods, and non-transitory computer-readable media can acquire a set of labels associated with a set of content items. Each label in the set of labels can be associated with at least one content item in the set of content items. It can be determined that at least two labels, out of the set of labels, are related. The at least two labels can be determined to be related based on at least one of a co-occurrence metric associated with the at least two labels or a topic similarity metric associated with the at least two labels. One label can be selected, out of the at least two labels, as being representative of the at least two labels.

Abstract: A social networking system provides a user with a feed of content items associated with other users connected to the user via the social networking system. Additionally, the social networking system identifies additional content items having various characteristics to the user. If the user selects an additional content item, further content items having one or more characteristics matching the selected additional content item are identified and presented to the user along with the additional content item. For example, a size of the selected additional content item is increased and the further content items are presented in a smaller size proximate to the selected additional content item.

Abstract: Systems, methods, and non-transitory computer-readable media can generate a set of candidate content items from a plurality of content items that are available in the social networking system, wherein one or more of the candidate content items are to be included in a personalized content stream for a first user. A corresponding score for each of the candidate content items can be generated with respect to the first user. A first set of content items can be determined from the set of candidate content items based at least in part on the respective scores, wherein content items in the first set are included in the personalized content stream.

Abstract: Systems, methods, and non-transitory computer-readable media can acquire a set of labels associated with a set of content items. Each label in the set of labels can be associated with at least one content item in the set of content items. It can be determined that at least two labels, out of the set of labels, are related. The at least two labels can be determined to be related based on at least one of a co-occurrence metric associated with the at least two labels or a topic similarity metric associated with the at least two labels. One label can be selected, out of the at least two labels, as being representative of the at least two labels.

Abstract: Systems, methods, and non-transitory computer-readable media can project data describing a set of media items from which a representative media item is to be determined. A medoid can be determined from the projected data. A media item corresponding to the medoid can be selected as the representative media item of the set of media items.

Abstract: Systems, methods, and non-transitory computer readable media can obtain a plurality of ephemeral content collections that are candidates for an ephemeral content feed of a user, wherein each of the plurality of ephemeral content collections includes one or more ephemeral content items. A score for each of the plurality of ephemeral content collections can be determined based at least in part on a probability of the user selecting the ephemeral content collection. The plurality of ephemeral content collections can be ranked based on the respective scores of the plurality of ephemeral content collections.

Abstract: Systems, methods, and non-transitory computer-readable media can generate at least one multi-author story using content items that satisfy one or more grouping criteria associated with the multi-author story, wherein the content items were previously published by users of a social networking system and provide access to the multi-author story to one or more users of the social networking system that satisfy one or more access restrictions associated with the multi-author story.

Abstract: Systems, methods, and non-transitory computer-readable media can provide an interactive slider element for selecting a time-lapse amount for captured media content. A selection of the time-lapse amount can be received via the interactive slider element. A stabilized time-lapse media content item having the time-lapse amount associated with the selection can be generated based on the captured media content. The stabilized time-lapse media content item can be presented.

Abstract: Systems, methods, and non-transitory computer-readable media can generate a set of candidate content items from a plurality of content items that are available in the social networking system for a first user. A corresponding score for each of the candidate content items can be generated based at least in part on one or more social affinity coefficients corresponding to the first user and a respective second user associated with a candidate content item, wherein a social affinity coefficient provides a quantitative measurement of the strength of a relationship between two users. A first set of content items from the set of candidate content items can be determined based at least in part on the respective scores, wherein content items in the first set are included in a content feed provided to the first user.

Abstract: Systems, methods, and non-transitory computer-readable media can access a content feed of a user in a social networking system. At least one content item to be added to the content feed is determined. One or more content items are added to the content feed, the content items being added from an explore feed in the social networking system, wherein the explore feed includes various content items that were posted by users of the social networking system.

Abstract: Systems, methods, and non-transitory computer-readable media can generate a set of candidate content items from a plurality of content items that are available in the social networking system, wherein one or more of the candidate content items are to be included in a personalized content stream for a first user. A corresponding score for each of the candidate content items can be generated with respect to the first user. A first set of content items can be determined from the set of candidate content items based at least in part on the respective scores, wherein content items in the first set are included in the personalized content stream.

Abstract: Systems, methods, and non-transitory computer-readable media can generate a set of candidate content items from a plurality of content items that are available in the social networking system, wherein one or more of the candidate content items are to be included in a personalized content stream for a first user. A corresponding score for each of the candidate content items can be generated with respect to the first user. A first set of content items can be determined from the set of candidate content items based at least in part on the respective scores, wherein content items in the first set are included in the personalized content stream.

Abstract: A social networking system user identifies one or more social networking system users authorized to present content items to the user via the social networking system (“authorized users”). When an additional user requests presentation of a content item to the user, the social networking system determines if the additional user is an authorized user. If the additional user is an authorized user, the content item is presented to the user. However, if the additional user is not an authorized user, the social networking system identifies the additional user to the user along with a request to identify the additional user as an authorized user. If the user identifies the additional user as an authorized user in response to the request, the content item is presented to the user.

Abstract: One or more embodiments of the disclosure include a character management system that determines and utilizes contextual meaning with regard to standardized image characters. In particular, the character management system determines contextual meaning with regard to standardized characters based on the manner in which the standardized characters are utilized in a repository of electronic documents. Moreover, the character management system can utilize the contextual meaning to search, recommend, analyze, and translate with regard to the use of standardized image characters.

Abstract: Systems, methods, and non-transitory computer-readable media can acquire a set of labels associated with a set of content items. Each label in the set of labels can be associated with at least one content item in the set of content items. It can be determined that at least two labels, out of the set of labels, are related. The at least two labels can be determined to be related based on at least one of a co-occurrence metric associated with the at least two labels or a topic similarity metric associated with the at least two labels. One label can be selected, out of the at least two labels, as being representative of the at least two labels.

Abstract: Systems, methods, and non-transitory computer-readable media can capture media content including an original set of frames. A selection of a time-lapse amount can be received. A subset of frames from the original set of frames can be identified based on the time-lapse amount. An orientation-based image stabilization process can be applied to the subset of frames to produce a stabilized subset of frames. A stabilized time-lapse media content item can be provided based on the stabilized subset of frames.

Abstract: An online system allows its users to posts content to the system and to see the content posted by other users of the system. The system helps users discover new content and sources thereof that may be interesting. For example, a first user expresses an interest in a content item and communicates that interest to the system. The system then identifies a second user who posted that liked content item and identifies content items in which the second user has communicated an interest. Based on this, the system selects one or more of the content items liked by the second user and provides the selected content items to the first user. The system may decline to send the content item to the first user if it was posted by a third user with whom the first user has already established a connection.

Abstract: Systems, methods, and non-transitory computer-readable media can provide an interactive slider element for selecting a time-lapse amount for captured media content. A selection of the time-lapse amount can be received via the interactive slider element. A stabilized time-lapse media content item having the time-lapse amount associated with the selection can be generated based on the captured media content. The stabilized time-lapse media content item can be presented.